PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Subject: Theory & Algorithms


nference algorithms and learning theory for Bayesian sparse factor analysis Magnus Rattray, Oliver Stegle, Kevin Sharp and John M. Winn Conference or Workshop Item (September 2209)
Probabilistic Models in Computational Biology Oliver Stegle Thesis (01 June 2209)
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Article (October 2012)
Spatial statistical calibration of CFD modelling of street canyons flows Serge Guillas, Nina Glover and Liora Malki-Epshtein Conference or Workshop Item Item not available online. (May 2012)
Data dependent kernels in nearly-linear time Guy Lever, Tom Diethe and John Shawe-Taylor Conference or Workshop Item Item not available online. (18 April 2012)
Bayesian Group Factor Analysis Seppo Virtanen, Arto Klami, Suleiman A. Khan and Samuel Kaski Conference or Workshop Item (April 2012)
Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space Arne Ewald, Laura Marzetti, Filippo Zappasodi, Frank Meinecke and Guido Nolte Article Item not available online. (March 2012)
Feature Extraction for Change-Point Detection using Stationary Subspace Analysis D A J Blythe, Paul Buenau, Frank Meinecke and Klaus-Robert Müller Article Item not available online. (12 February 2012)
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection Gavin Brown, Adam Pocock, Ming-Jie Zhao and Mikel Lujan Article (10 February 2012)
Tighter PAC-Bayes bounds through distribution dependent priors Guy Lever, Francois Laviolette and John Shawe-Taylor Article Item not available online. (10 February 2012)
On codecell convexity of optimal multiresolution scalar quantizers for continuous sources András Antos Article Item not available online. (06 February 2012)
Efficient Path Kernels for Reaction Function Prediction Markus Heinonen, Niko Välimäki, Veli Mäkinen and Juho Rousu Conference or Workshop Item (01 February 2012)
Emergence of optimal decoding of population coding through STDP Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Article Item not available online. (01 February 2012)
Scalable corpus annotation by graph construction and label propagation Thomas Lansdall-Welfare, Ilias Flaounas and Nello Cristianini Conference or Workshop Item Item not available online. (February 2012)
Towards Improved Theoretical Problems for Autonomous Discovery Chris Lovell and Steve Gunn Conference or Workshop Item Item not available online. (February 2012)
Towards a theoretical foundation for morphological computation with compliant bodies. Helmut Hauser, Auke Ijspeert, Rudolf Fuechslin, Rolf Pfeiffer and Wolfgang Maass Article Item not available online. (31 January 2012)
Identifying Interactions from Superimposed Signals Frank Meinecke Thesis Item not available online. (16 January 2012)
Robust Domain Adaptation Yishay Mansour and Mariano Schain Conference or Workshop Item (09 January 2012)
Autonomous Exploration For Navigating In MDPs Shiau Hong Lim and Peter Auer Article Item availablity restricted. (01 January 2012)
A case study on Meta-Generalizing: a Gaussian Processes approach Grigorios Skolidis and Guido Sanguinetti Article Item not available online. (January 2012)
Analysis of Probabilistic Inference in Recurrent Networks of Spiking Neurons Sabine Schneider Thesis Item not available online. (January 2012)
Efficient online learning via randomized rounding Nicolò Cesa-Bianchi and Ohad Shamir Conference or Workshop Item Item not available online. (January 2012)
See the tree through the lines: the Shazoo algorithm Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile and Giovanni Zappella Conference or Workshop Item Item not available online. (January 2012)
A Real-Time Deformable Detector Karim Ali, Francois Fleuret, David Hasler and Pascal Fua Article Item not available online. (2012)
A tree-based distance between distributions: application to classification of neurons Riwal Lefort and Francois Fleuret Conference or Workshop Item Item not available online. (2012)
Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses S Haufe, V Nikulin and G Nolte Book Section Item not available online. (2012)
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices Franz Kiraly, Andreas Ziehe and Klaus-Robert Müller Conference or Workshop Item Item not available online. (2012)
Analysis of the IJCNN 2011 UTL challenge Isabelle Guyon, Gideon Dror, Vincent Lemaire, Danny Silver, Graham Taylor and David Aha Article Item availablity restricted. (2012)
Collaborative filtering via group-structured dictionary learning Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2012)
Collaborative filtering via group-structured dictionary learning Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item (2012)
Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems Stefano Albrecht and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2012)
Efficient sparse coding in early sensory processing: lessons from signal recovery András Lorincz, Zsolt Palotai and Gabor Szirtes Article Item availablity restricted. (2012)
Generation of various classes of trivalent graphs Tomaž Pisanski, Nico van Cleemput and Gunnar Brinkmann Article Item not available online. (2012)
Graph Transduction as a Noncooperative Game Aykut Erdem and Marcello Pelillo Article Item not available online. (2012)
Hamilton cycles in (2, odd, 3)-Cayley graphs Dragan Marušič, Klavdija Kutnar, Aleksander Malnič and Henry Glover Article Item not available online. (2012)
Hamiltonian cycles in Cayley graphs whose order has few prime factors Dragan Marušič, Klavdija Kutnar, D. W. Morris, Joy Morris and Primož Šparl Article Item not available online. (2012)
High order parametric polynomial approximation of quadrics in R [sup] d Gašper Jaklic, Jernej Kozak, Marjetka Krajnc, Vito Vitrih and Emil Žagar Article Item not available online. (2012)
Lagrange geometric interpolation by rational spatial cubic Bézier curves Gašper Jaklic, Jernej Kozak, Vito Vitrih and Emil Žagar Article Item not available online. (2012)
Learning Schema Mappings Victor Dalmau Conference or Workshop Item Item not available online. (2012)
Macroscopes: Models for Collective Decision Making Subramanian Ramamoorthy, Andras Salamon and Rahul Santhanam Conference or Workshop Item Item not available online. (2012)
Mining Poly-regions in DNA Panagiotis Papapetrou, Gary Benson and George Kollios Article Item not available online. (2012)
On cubic non-Cayley vertex-transitive graphs Dragan Marušič, Klavdija Kutnar and Cui Zhang Article Item not available online. (2012)
Parameterized Complexity of MaxSat Above Average R. Crowston, G. Gutin, M. Jones, V. Raman and S. Saurabh Conference or Workshop Item (2012)
Parameterized eulerian strong component arc deletion problem on tournaments R. Crowston, G. Gutin, M. Jones and A. Yeo Article (2012)
Probability Theory in Machine Learning Martin Anthony Book Section Item not available online. (2012)
Regression for sets of polynomial equations F J Kiraly, Paul Buenau, J S Müller, D A J Blythe, Frank Meinecke and Klaus-Robert Müller Conference or Workshop Item (2012)
Replica theory for learning curves for Gaussian processes on random graphs Matthew Urry and Peter Sollich Monograph (2012)
Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2012)
Sparsity with sign-coherent groups of variables via the cooperative-Lasso Julien Chiquet, Yves Grandvalet and Camille Charbonnier Article (2012)
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference Nicolò Cesa-Bianchi, Matteo Re and Giorgio Valentini Article Item not available online. (2012)
Spectra of Empirical Auto-Covariance Matrices Reimer Kuehn and Peter Sollich Article (22 December 2011)
Bayesian Causal Induction Pedro Alejandro Ortega Conference or Workshop Item (17 December 2011)
Bayesian model of transcript differential expression in RNA-seq data with biological variation Peter Glaus, Antti Honkela and Magnus Rattray Conference or Workshop Item Item availablity restricted. (17 December 2011)
Efficient Prediction for Tree Markov Random Fields in a Streaming Model Mark Herbster, Stephen Pasteris and Fabio Vitale Conference or Workshop Item (17 December 2011)
Learning Item Trees for Probabilistic Modeling of Implicit Feedback Andriy Mnih and Yee Whye Teh Conference or Workshop Item (17 December 2011)
Online solution of the average cost Kullback-Leibler optimization problem Joris Bierkens and Bert Kappen Conference or Workshop Item Item availablity restricted. (16 December 2011)
Visualization and Prediction of Disease Interactions with Continuous-Time Hidden Markov Models Jose Leiva-Murillo, Antonio Artés-Rodríguez and Enrique Baca-García Conference or Workshop Item (16 December 2011)
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons Dejan Pecevski, Lars Büsing and Wolfgang Maass Article Item not available online. (15 December 2011)
Discrepancy Principle for Statistical Inverse Problems with Application to Conjugate Gradient Iteration Gilles Blanchard and Peter Mathé Article (12 December 2011)
Periodic finite state controllers for efficient POMDP and DEC-POMDP planning Joni Pajarinen and Jaakko Peltonen Conference or Workshop Item Item not available online. (12 December 2011)
Speedy Q-learning Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh and Bert Kappen Conference or Workshop Item (12 December 2011)
Sparse recovery by thresholded non-negative least squares Martin Slawski and Matthias Hein Article (10 December 2011)
Analysis of Textual Variation by Latent Tree Structures Teemu Roos and Yuan Zou Conference or Workshop Item (December 2011)
Applying multiclass bandit algorithms to call-type classification Authors: Liva Ralaivola Benoit Favre Pierre Gotab Frederic Bechet Geraldine Damnati Liva Ralaivola, Benoit Favre, Pierre Gotab, Frédéric Béchet and Géraldine Damnati Conference or Workshop Item Item not available online. (December 2011)
Bayesian Multitask Classification with Gaussian Process Priors Grigorios Skolidis and Guido Sanguinetti Article Item not available online. (December 2011)
Fast Cross-Validation via Sequential Analysis Tammo Krüger, Danny Panknin and Mikio braun Conference or Workshop Item (December 2011)
Importance of Cross-Layer Cooperation for Learning Deep Feature Hierarchies Gregoire Montavon, Mikio braun and Klaus-Robert Müller Conference or Workshop Item (December 2011)
Improving Topic Coherence with Regularized Topic Models David Newman, Edwin Bonilla and Wray Buntine Conference or Workshop Item (December 2011)
Interesting Multi-Relational Patterns Eirini Spyropoulou and Tijl De Bie Conference or Workshop Item Item availablity restricted. (December 2011)
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration Peter Grünwald and Joseph Halpern Article Item not available online. (December 2011)
Neuronal adaptation for sampling-based probabilistic inference in perceptual bistability David Reichert, Peggy Series and Amos Storkey Article Item not available online. (December 2011)
On fast approximate submodular minimization Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (December 2011)
PAC-Bayesian Analysis of Contextual Bandits Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor and Ronald Ortner Conference or Workshop Item (December 2011)
Selecting the State-Representation in Reinforcement Learning Odalric-Ambrym Maillard, Daniil Ryabko and Rémi Munos Article (December 2011)
Sparse Domain Adaptation in a Good Similarity-Based Projection Space Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (December 2011)
Sparse Domain Adaptation in Projection Spaces based on Good Similarity Functions Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (December 2011)
Sparse recovery with Brownian sensing Alexandra Carpentier, Odalric-Ambrym Maillard and Rémi Munos Article (December 2011)
The NetCover Algorithm for the Reconstruction of Causal Networks Nick Fyson, Tijl De Bie and Nello Cristianini Article (December 2011)
Thinning measurement models and questionnaire design Ricardo Silva Conference or Workshop Item Item not available online. (December 2011)
Optimal Resource Allocation in a Virtualized Software Aging Platform with Software Rejuvenation Javier Alonso, Inigo Gori, Jordi Guitart, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item not available online. (29 November 2011)
Combination of Recursive Least p-Norm Algorithms for robust Adaptive Filtering in Alpha-Stable Noise Angel Navia-Vazquez and Jerónimo Arenas-Garcia Article Item availablity restricted. (22 November 2011)
A Graph Theoretic Approach to Gender Classification Zhihong Zhang, Edwin Hancock and Jing Wu Article (13 November 2011)
Trading value and information in MDPs Jonathan Rubin, Ohad Shamir and Naftali Tishby Book Section (11 November 2011)
Kinecting the dots: Particle based scene flow from depth sensors Simon Hadfield and Richard Bowden Conference or Workshop Item (06 November 2011)
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Büsing, Johannes Bill, Bernhard Nessler and Wolfgang Maass Article Item not available online. (03 November 2011)
Weisfeiler-Lehman graph kernels Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn and Karsten Borgwardt Article Item not available online. (01 November 2011)
Approximate Gaussian Integration using Expectation Propagation John Cunningham, Philipp Hennig and Simon Lacoste-Julien Article Item not available online. (November 2011)
Detecting F-formations as Dominant Sets Hayley Hung and B Krose Conference or Workshop Item (November 2011)
High-dimensional random geometric graphs and their clique number Luc Devroye, Andras Gyorgy, Gábor Lugosi and Frederic Udina Article Item not available online. (November 2011)
Multitask Learning Using Regularized Multiple Kernel Learning Mehmet Gönen, Melih Kandemir and Samuel Kaski Conference or Workshop Item Item not available online. (November 2011)
Composite Multiclass Losses E Vermet, Bob Williamson and Mark Reid Conference or Workshop Item (29 October 2011)
A New Formal Context for Symmetric Dependencies Jaume Baixeries Conference or Workshop Item Item not available online. (27 October 2011)
Testing over a continuum of null hypotheses Gilles Blanchard, Sylvain Delattre and Étienne Roquain Article (17 October 2011)
Comparing classication methods for predicting distance students' performance Diego García-Saiz and Marta Zorrilla Conference or Workshop Item (16 October 2011)
Beyond logarithmic bounds in online learning Francesco Orabona, Nicolò Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (14 October 2011)
Finding the most probable string and the consensus string: an algorithmic study Colin de la Higuera and Jose Oncina Conference or Workshop Item (05 October 2011)
Regret Minimization Algorithms for Pricing Lookback Options Eyal Gofer and Yishay Mansour Conference or Workshop Item (05 October 2011)
A Malware Instruction Set for Behavior-based Analysis Philipp Trinius, Carsten Willems, Thorsten Holz and Konrad Rieck Conference or Workshop Item (October 2011)
Detecting Sentiment Change in Twitter Streaming Data Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Ricard Gavaldà Conference or Workshop Item (October 2011)
Graph Kernels Matthias Rupp Book Section Item not available online. (October 2011)
Lipschitz bandits without the Lipschitz constant Sébastien Gerchinovitz, Gilles Stoltz and Jia Yuan Yu Conference or Workshop Item (October 2011)
Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model Ulpu Remes, Kalle Palomäki, Tapani Raiko, Antti Honkela and Mikko Kurimo Article Item not available online. (October 2011)
MOA Concept Drift Active Learning Strategies for Streaming Data Indre Zliobaite, Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (October 2011)
MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (October 2011)
Modelling Inference and Learning in Biological Networks of Neurons Dejan Pecevski Thesis Item not available online. (October 2011)
Online Evaluation of Email Streaming Classifiers Using GNUsmail José M. Carmona, Manuel Baena-García, José del Campo-Avila, Albert Bifet, Joao Gama and Rafael Morales Bueno Conference or Workshop Item Item not available online. (October 2011)
Performance of single sample predictors in defining breast cancer molecular subtypes M. Dugo, M. Callari, P. Miodini, V. Cappelletti, M.L. Carcangiu, R. Orlandi, Giorgio Valentini and MG Daidone Conference or Workshop Item Item not available online. (October 2011)
Streaming Multi-label Classification Jesse Read, Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (October 2011)
The Stationary Subspace Analysis toolbox Jan Saputra Müller, Paul Buenau, Frank Meinecke, Franz Király and Klaus-Robert Müller Article (October 2011)
The Stationary Subspace Analysis Toolbox J S Müller, Paul Buenau, Frank Meinecke, F J Kiraly and Klaus-Robert Müller Article (October 2011)
TractoR: Magnetic resonance imaging and tractography with R. J.D. Clayden, S. Munoz Maniega, A.J. Storkey, M.D. King, M.E. Bastin, and C.A. Clark. TractoR: Magnetic resonance imaging and tractography with R. Journal of Statistical Software. In Press., 2011. John Clayden, Susana Munoz Maniega, Amos Storkey, Martin King, Mark Bastin and Chris Clark Article Item not available online. (October 2011)
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification. José M. Carmona, Manuel Baena-García, José del Campo-Avila, Rafael Morales Bueno, Joao Gama and Albert Bifet Conference or Workshop Item Item not available online. (October 2011)
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma Mehmet Gönen, Aydın Ulaş, Peter Schüffler, Umberto Castellani and Vittorio Murino Conference or Workshop Item Item not available online. (24 September 2011)
Mutual Information Criteria for Feature Selection Zhihong Zhang and Edwin Hancock Article (24 September 2011)
HasGP: A Haskell Library for Gaussian Process Inference Sean Holden Article Item not available online. (21 September 2011)
Large scale topic modeling made practical Bjarne Ørum Wahlgreen and Lars Kai Hansen Article Item availablity restricted. (18 September 2011)
Large scale topic modeling made practical Bjarne Ørum Wahlgreen and Lars Kai Hansen Conference or Workshop Item (18 September 2011)
Decision-theoretic planning with generalized first-order decision diagrams Saket Joshi, Kristian Kersting and Roni Khardon Article Item not available online. (16 September 2011)
A Theoretical Framework for Morphological Computation Wolfgang Maass Conference or Workshop Item Item not available online. (13 September 2011)
Derivatives and Credit Contagion in Interconnected Networks Sebastian Heise and Reimer Kuehn Article (07 September 2011)
Reconstructing transcription factor activities in hierarchical transcription network motifs Andrea Ocone and Guido Sanguinetti Article Item not available online. (07 September 2011)
Focused multi-task learning using Gaussian processes Gayle Leen, Jaakko Peltonen and Samuel Kaski Conference or Workshop Item Item not available online. (05 September 2011)
Novel Fusion Methods for Pattern Recognition Muhammad Awais, Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item (04 September 2011)
A Shapley-value Approach for Influence Attribution Panagiotis Papapetrou, Aris Gionis and Heikki Mannila Article Item not available online. (September 2011)
A Unifying Polyhedral Approximation Framework for Convex Optimization Dimitri Bertsekas and Huizhen Yu Article Item not available online. (September 2011)
Active Learning with Evolving Streaming Data Indre Zliobaite, Albert Bifet, Bernhard Pfahringer and Geoff Holmes Conference or Workshop Item Item not available online. (September 2011)
Adaptive Aggregation for Reinforcement Learning in Average Reward Markov Decision Processes Ronald Ortner Article Item not available online. (September 2011)
Artemis: Assessing the Similarity of Event-Interval Sequences Orestis Kostakis, Panagiotis Papapetrou and Jaakko Hollmen Article Item not available online. (September 2011)
Combinations of Proportionate Adaptive Filters in Acoustics: An application to Active Noise Control Jerónimo Arenas-Garcia, María de Diego, Luis A. Azpicueta-Ruiz, Miguel Ferrer and Alberto González Conference or Workshop Item Item availablity restricted. (September 2011)
Cooperative Data Censoring for Energy-Efficient Communications in Sensor Networks Jesús Fernandez-Bes, Rocío Arroyo-Valles and Jesus Cid-Sueiro Conference or Workshop Item Item availablity restricted. (September 2011)
Impact of the Initialization in Tree-Based Fast Similarity Search Techniques Aureo Serrano, Luisa Mico and Jose Oncina Conference or Workshop Item Item availablity restricted. (September 2011)
Kernel Analysis of Deep Networks Gregoire Montavon, Mikio braun and Klaus-Robert Müller Article (September 2011)
MOA: A Real-Time Analytics Open Source Framework Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen and Thomas Seidl Conference or Workshop Item Item not available online. (September 2011)
MSVMpack: a multi-class support vector machine package Fabien Lauer and Yann Guermeur Article (September 2011)
Nowcasting Events from the Social Web with Statistical Learning Vasileios Lampos and Nello Cristianini Article (September 2011)
Oger: Modular Learning Architectures For Large-Scale Sequential Processing David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers and Dejan Pecevski Article Item not available online. (September 2011)
On the Usefulness of Similarity Based Projection Spaces for Transfer Learning Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (September 2011)
Similarity-Based Pattern Recognition First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings Marcello Pelillo and Edwin Hancock Book Item not available online. (September 2011)
The HasGP user manual Sean Holden Monograph (September 2011)
Augmented Kernel Matrix vs Classifier Fusion for Object Recognition Muhammad Awais, Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item (29 August 2011)
On least favorable configurations for step-up-down tests Gilles Blanchard, Thorsten Dickhaus, Étienne Roquain and Fanny Villers Article (26 August 2011)
A Hypergraph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Article (13 August 2011)
Mining Spatiotemporal Patterns in Dynamic Plane Graphs Adriana Prado, Baptiste jeudy, Elisa Fromont and Diot Fabien Article Item not available online. (05 August 2011)
Information, Utility & Bounded Rationality Pedro Ortega and Daniel A. Braun Conference or Workshop Item (03 August 2011)
A fast pivot-based indexing algorithm for metric spaces Raisa Socorro, Luisa Mico and Jose Oncina Article (August 2011)
An effective evaluation measure for clustering on evolving data streams Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (August 2011)
Bayesian Reasoning and Machine Learning David Barber Book Item not available online. (August 2011)
Embedding-based Subsequence Matching in Time Series Databases Panagiotis Papapetrou, Vassilis Athitsos, Michalis Potamias, George Kollios and Dimitrios Gunopulos Article Item not available online. (August 2011)
Mining frequent closed graphs on evolving data streams Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Ricard Gavaldà Conference or Workshop Item Item not available online. (August 2011)
Support Vector Machines with constraints for sparsity in the primal parameters Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-Garcia, Harold Molina-Bulla and Miguel Lazaro-Gredilla Article Item availablity restricted. (August 2011)
Multi-task Regression using Minimal Penalties Mathieu Solnon, Sylvain Arlot and Francis Bach Other (22 July 2011)
Efficient planning for factored infinite-horizon DEC-POMDPs Joni Pajarinen and Jaakko Peltonen Conference or Workshop Item Item not available online. (16 July 2011)
An Inductive Database System Based on Virtual Mining Views Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado and Céline Robardet Article Item not available online. (13 July 2011)
Mixability is Bayes Risk Curvature Relative to Log Loss T van Erven, Mark Reid and Bob Williamson Conference or Workshop Item (09 July 2011)
Data Mining applied to educational environments: research and implementation of parameter-free techniques Diego García-Saiz Thesis (07 July 2011)
E-learning Web Miner: A data mining application to help instructors involved in virtual courses Diego García-Saiz and Marta Zorrilla Conference or Workshop Item (06 July 2011)
Towards Parameter-Free Data Mining: Mining Educational Data with yacaree Marta Zorrilla, Diego García-Saiz and José Balcázar Conference or Workshop Item (06 July 2011)
Machine learning in natural language processing George Petasis Thesis (01 July 2011)
Adaptive Coordinate Descent Ilya Loshchilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (July 2011)
Approximation Bounds for Inference using Cooperative Cut Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (July 2011)
Automating the Calibration of a Neonatal Condition Monitoring System Christopher Williams and Ioan Stanculescu Article (July 2011)
Efficient Multi-Start Strategies for Local Search Algorithms Andras Gyorgy and Levente Kocsis Article Item not available online. (July 2011)
Near-optimal rates for limited-delay universal lossy source coding Andras Gyorgy and Gergely Neu Conference or Workshop Item Item not available online. (July 2011)
Online submodular minimization for combinatorial structures Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (July 2011)
Stochastic Low-Rank Kernel Learning for Regression Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola and Hervé Glotin Conference or Workshop Item Item not available online. (27 June 2011)
Efficient computation of Ihara coefficients using the Bell polynomial recursion Samuel Bulò, Edwin Hancock, Furqan Aziz and Marcello Pelillo Article Item not available online. (23 June 2011)
Learning Read-Constant Polynomials of Constant Degree Modulo Composites Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen and Denis Thérien Conference or Workshop Item Item not available online. (14 June 2011)
A hard-disk based suffix tree implementation Tristan Snowsill and florent nicart Monograph (11 June 2011)
Recherche de motifs dans des images : apport des graphes plans Emilie Samuel Thesis Item not available online. (06 June 2011)
Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling Book Section Item not available online. (June 2011)
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences Odalric-Ambrym Maillard, Rémi Munos and Gilles Stoltz Conference or Workshop Item (June 2011)
A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving New Algorithms Marc P Deisenroth and Henrik Ohlsson Conference or Workshop Item (June 2011)
Adaptive One Class Support Vector Machine Vanessa Gómez-Verdejo, Jerónimo Arenas-Garcia, Miguel Lazaro-Gredilla and Angel Navia-Vazquez Article Item availablity restricted. (June 2011)
Bayesian CCA via Group Sparsity Seppo Virtanen, Arto Klami and Samuel Kaski Conference or Workshop Item (June 2011)
Construction and learnability of canonical Horn formulas Marta Arias and José Balcázar Article Item not available online. (June 2011)
Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences. Odalric-Ambrym Maillard, Rémi Munos and Gilles Stoltz Article (June 2011)
Inverse Problems and High-Dimensional Estimation Book Item not available online. (June 2011)
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning Marc P Deisenroth, Carl Edward Rasmussen and Dieter Fox Conference or Workshop Item (June 2011)
MKPM: a Multiclass extension of the Kernel Projection Machine Sylvain Takerkart and Liva Ralaivola Conference or Workshop Item Item not available online. (June 2011)
MKPM: a multiclass extension of the Kernel Projection Machine Sylvain Takerkart and Liva Ralaivola Conference or Workshop Item Item not available online. (June 2011)
Model Based Learning of Sigma Points in Unscented Kalman Filtering Ryan Turner and Carl Edward Rasmussen Article Item availablity restricted. (June 2011)
Multi-label cooperative cuts Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (June 2011)
Multiclass classification with bandit feedback using adaptive regularization Koby Crammer and Claudio Gentile Conference or Workshop Item (June 2011)
Persistence-based clustering in riemannian manifolds Frederic Chazal, Steve Oudot, Primož Škraba and Leonidas Guibas Conference or Workshop Item Item not available online. (June 2011)
PILCO: A Model-Based and Data-Efficient Approach to Policy Search Marc P Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (June 2011)
Robustness and the Halting Problem for Multi-Cellular Artificial Ontogeny Alexandre Devert, Nicolas Bredeche and Marc Schoenauer Article (June 2011)
Submodularity beyond submodular energies: coupling edges in graph cuts Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (June 2011)
The grouped author-topic model for unsupervised entity resolution. Andrew Dai and Amos Storkey Article Item not available online. (June 2011)
Zigzag persistent homology in matrix multiplication time Nikola Milosavljević, Dmitriy Morozov and Primož Škraba Conference or Workshop Item Item not available online. (June 2011)
Analysis of Neural Data and Models of Neural Networks related to Working Memory Gregor Hörzer Thesis Item not available online. (27 May 2011)
Exploration and Exploitation in an Artificial Experimenter Chris Lovell, Klaus-Peter Zauner and Steve Gunn Conference or Workshop Item (25 May 2011)
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor and Jan Peters Conference or Workshop Item (20 May 2011)
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters and Peter Auer Monograph (19 May 2011)
A Graph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Article (05 May 2011)
Bayesian Time Series Models Book Item not available online. (May 2011)
Distance Measure for Querying Arrangements of Temporal Intervals Orestis Kostakis, Panagiotis Papapetrou and Jaakko Hollmen Article Item not available online. (May 2011)
Model-based search in large time series databases Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmen and Dimitrios Gunopulos Article Item not available online. (May 2011)
State-space Dynamics for Clustering Sequential Data Darío García-García, Emilio Parrado-Hernandez and Fernando Díaz-de-María Article Item availablity restricted. (May 2011)
The role of Hubness in clustering high-dimensional data Nenad Tomašev, Miloš Radovanović, Dunja Mladenić and Mirjana Ivanović Conference or Workshop Item Item not available online. (May 2011)
Tracking Performance of Adaptively Biased Adaptive Filters Jerónimo Arenas-Garcia and Miguel Lazaro-Gredilla Conference or Workshop Item Item availablity restricted. (May 2011)
True Path Rule hierarchical ensembles for genome-wide gene function prediction Giorgio Valentini Article (May 2011)
Space Dilation in Polynomial-Time Perceptron Algorithms Andriy Kharechko Conference or Workshop Item (16 April 2011)
Generative modeling for maximizing precision and recall in information visualization Jaakko Peltonen and Samuel Kaski Conference or Workshop Item Item not available online. (11 April 2011)
Spectral Clustering on a Budget Ohad Shamir and Naftali Tishby Article (11 April 2011)
tigre: Transcription factor Inference through Gaussian process Reconstruction of Expression for Bioconductor Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray and Neil Lawrence Article Item not available online. (01 April 2011)
Inference and estimation in probabilistic time series models David Barber, Taylan Cemgil and Silvia Chiappa Book Section Item not available online. (April 2011)
Approximate inference for the loss-calibrated Bayesian Simon Lacoste-Julien, Ferenc Huszar and Zoubin Ghahramani Conference or Workshop Item (April 2011)
Approximate inference in switching linear dynamical systems using Gaussian mixtures David Barber Book Section Item not available online. (April 2011)
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models Edward Challis and David Barber Conference or Workshop Item Item not available online. (April 2011)
Hierarchical Gaussian Process Models of Gene Expression and Transcriptional Regulation Antti Honkela, James Hensman, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item not available online. (April 2011)
Impacts of Invariance in Search: When CMA-ES and PSO Face ill-Conditioned and Non-Separable Problems Nikolaus Hansen, Raymond Ros, Nicholas Mauny, Marc Schoenauer and Anne Auger Article (April 2011)
Machine Learning Markets Amos Storkey Article Item not available online. (April 2011)
Mixed cumulative distribution networks Ricardo Silva, Charles Blundell and Yee Whye Teh Conference or Workshop Item (April 2011)
Not all parents are equal for MO-CMA-ES Ilya Loshchilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (April 2011)
Switch-Reset Models : Exact and Approximate Inference Chris Bracegirdle and David Barber Conference or Workshop Item Item not available online. (April 2011)
Causality Workbench Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Book Section (17 March 2011)
Learning temporal relationships between hidden causes in networks of spiking neurons David Kappel Thesis Item not available online. (17 March 2011)
Sparsity with sign-coherent groups of variables via the cooperative-Lasso Julien Chiquet, Yves Grandvalet and Camille Charbonnier Article (14 March 2011)
A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps Michael Hirsch, Bernhard Schölkopf and Michael Habeck Article Item not available online. (March 2011)
A Kernel Approach to Tractable Bayesian Nonparametrics Ferenc Huszar and Simon Lacoste-Julien Article Item not available online. (March 2011)
Absolute Convergence of Rational Series is semi-decidable Raphael Bailly and François Denis Article Item not available online. (March 2011)
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search M Suigyama, M Yamada, Paul Buenau, T Suzuki, T Kanamori and Motoaki Kawanabe Article Item not available online. (March 2011)
Particle smoothing in continuous time: a fast approach via density estimation Lawrence Murray and Amos Storkey Article Item not available online. (March 2011)
Time Series Analysis with the Causality Workbench Isabelle Guyon, Alexander Statnikov and Constantin Aliferis Conference or Workshop Item (March 2011)
A spiking neural network implementation of MCMC sampling Lars Büsing, Johannes Bill, Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (25 February 2011)
Toward a classification of finite partial-monitoring games András Antos, Gábor Bartók, Dávid Pál and Csaba Szepesvari Article Item not available online. (21 February 2011)
Dimensionality reduction for data visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (17 February 2011)
Path Integral Control and Bounded Rationality Daniel A. Braun, Pedro Ortega, Evangelos Theodorou and Stefan Schaal Conference or Workshop Item (04 February 2011)
Contributions to the sequential prediction of arbitrary sequences: applications to the theory of repeated games and empirical studies of the performance of the aggregation of experts Gilles Stoltz Thesis (03 February 2011)
Efficient search supporting several similarity queries by reordering pivots Raisa Socorrro, Luisa Mico and Jose Oncina Article (February 2011)
New bounds for the query complexity of an algorithm that learns DFAs with correction and equivalence queries Victor Mitrana and Cristina Tirnauca Article Item not available online. (February 2011)
Pattern analysis with graphs: Parallel work at Bern and York Edwin Hancock and Richard Wilson Article Item not available online. (February 2011)
Robust approachability and regret minimization in games with partial monitoring Vianney Perchet, Shie Mannor and Gilles Stoltz Article (February 2011)
The Sequence Memoizer Frank Wood, Jan Gasthaus, Cedric Archambeau, Lancelot James and Yee Whye Teh Article Item not available online. (February 2011)
Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Article Item not available online. (February 2011)
Mining frequent closed trees in evolving data streams Albert Bifet and Ricard Gavaldà Article Item not available online. (15 January 2011)
Anisotropic Diffusion for Noise Removal of Band Pass Signals Sasan Mahmoodi Article (10 January 2011)
Technical Report: Bessel Filter Analysis Sasan Mahmoodi Monograph (06 January 2011)
A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller Suzanne Martens, Joris Mooij, Jeremy Hill, Jason Farquhar and Bernhard Schölkopf Article (January 2011)
Adaptive Combination of Volterra Kernels and its Application to Nonlinear Acoustic Echo Cancellation Luis Azpicueta-Ruiz, Marcus Zeller, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-Garcia and Walter Kellermann Article Item not available online. (January 2011)
Closed-set-based discovery of representative association rules revisited. José Balcázar and Cristina Tirnauca Conference or Workshop Item Item not available online. (January 2011)
Combining Strategies Efficiently: High-Quality Decisions from Conflicting Advice Wouter Koolen Thesis Item not available online. (January 2011)
DISPERSION EFFECT ON GENERALIZATION ERROR IN CLASSIFICATION - Experimental Proof and Practical Algorithm Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant Article Item not available online. (January 2011)
Extended Input Space Support Vector Machine Ricardo Santiago-Mozos, Fernando Pérez-Cruz and Antonio Artes-Rodriguez Article Item not available online. (January 2011)
Generalization Error Bounds for the Logical Analysis of Data Martin Anthony Monograph Item not available online. (January 2011)
Minimum mutation algorithm for gapless metabolic network evolution Juho Rousu, Esa Pitkänen and Mikko Arvas Conference or Workshop Item Item not available online. (January 2011)
Mining frequent closed trees in evolving data streams Albert Bifet and Ricard Gavaldà Article Item not available online. (January 2011)
Training SVMs without offset Ingo Steinwart, Don Hush and Clint Scovel Article Item not available online. (January 2011)
A mathematical model for the validation of gene selection methods Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino and Giorgio Valentini Article Item availablity restricted. (2011)
A Novel Ensemble Technique for Protein Subcellular Location Prediction Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini and Paola Campadelli Book Section Item not available online. (2011)
Analysis of Multimodal Neuroimaging Data Felix Bießmann, Sergej Plis, Frank Meinecke, Tom Eichele and Klaus-Robert Müller Article Item not available online. (2011)
COSNet: a Cost Sensitive Neural Network for Semi-supervised Learning in Graphs Alberto Bertoni, Marco Frasca and Giorgio Valentini Book Section (2011)
Ensembles in Machine Learning Applications Book Item not available online. (2011)
Genes prioritization with respect to Cancer Gene Modules using functional interaction network data Matteo Re and Giorgio Valentini Conference or Workshop Item (2011)
1-local 33/24-competitive algorithm for multicoloring hexagonal graphs Rafał Witkovski and Janez Žerovnik Article Item not available online. (2011)
A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps Michael Hirsch, Bernhard Schölkopf and Michael Habeck Article Item not available online. (2011)
A characterization of the reconfiguration space of self-reconfiguring robotic systems. Subramanian Ramamoorthy and Thomas Larkworthy Article Item not available online. (2011)
A cost-sensitive neural algorithm to predict gene functions using large biological networks Marco Frasca, Alberto Bertoni and Giorgio Valentini Conference or Workshop Item Item not available online. (2011)
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix Jens Humrich, Thomas Gaertner and Gemma C. Garriga Article Item not available online. (2011)
A graphical model framework for decoding in the visual ERP-based BCI speller S.M.M. Martens, J.M. Mooij, N.J. Hill, J. Farquhar and Bernhard Schölkopf Article Item not available online. (2011)
A hierarchical generative model of recurrent object-based attention in the visual cortex David Reichert, Peggy Seriès and Amos Storkey Conference or Workshop Item Item not available online. (2011)
A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets M Panov, A Tatarchuk, V Mottl and D Windridge Conference or Workshop Item Item not available online. (2011)
A New Bound for $3$-Satisfiable MaxSat and its Algorithmic Application G. Gutin, M. Jones and A. Yeo Conference or Workshop Item (2011)
A new imputation method for incomplete binary data Munevver Mine Subasi, Ersoy Subasi, Martin Anthony and Peter L. Hammer Article Item not available online. (2011)
A Novel Ensemble Approach for the Subcellular Localization of Proteins Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini and Paola Campadelli Conference or Workshop Item Item not available online. (2011)
A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition V Nikulin, G Nolte and G Curio Article Item not available online. (2011)
A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmen and Dimitrios Gunopulos Article Item not available online. (2011)
A Tutorial on the Use of Partial Least Squares and Principal Components Analysis for the Identification Problem in the Age-Period-Cohort-Analysis Yu-Kang Tu, Nicole Krämer and Wen-Chung Lee Article Item not available online. (2011)
Access to Unlabeled Data can Speed up Prediction Time Ruth Urner, Shai Ben-David and Shai Shalev-Shwartz Conference or Workshop Item (2011)
Accumulation of Different Visual Feature Descriptors in a Coherent Framework Jeppe B. Jessen, Florian Pilz, Dirk Kraft, Nicolas Pugeault and Norbert Krueger Conference or Workshop Item (2011)
Adaptive bandits: Towards the best history-dependent strategy Odalric-Ambrym Maillard and Rémi Munos Article (2011)
Adaptive Hedge Tim Erven, van, Peter Grünwald, Wouter Koolen and Steven de Rooij Conference or Workshop Item Item not available online. (2011)
Adaptive nonparametric detection in cryo-electron microscopy Mikhail Langovoy, Michael Habeck and Bernhard Schölkopf Conference or Workshop Item (2011)
Adaptive Sigmoidal Plant Identification Angel Navia-Vazquez and R. Díaz-Morales Article Item availablity restricted. (2011)
Adaptive Volterra Filters with Evolutionary Quadratic Kernels using a Combination Scheme for Memory Control Marcus Zeller, Luis A. Azpicueta-Ruiz, Jerónimo Arenas-Garcia and Walter Kellermann Article (2011)
Algebraic Geometric Comparison of Probability Distributions F J Kiraly, Paul Buenau, Frank Meinecke and Klaus-Robert Müller Article (2011)
An approach to geometric interpolation by Pythagorean-hodograph curves Gašper Jaklic, Jernej Kozak, Marjetka Krajnc, Vito Vitrih and Emil Žagar Article Item not available online. (2011)
An efficient supervised method to integrate multiple biological networks Alberto Bertoni, Marco Frasca and Giorgio Valentini Conference or Workshop Item (2011)
An Information Geometrical View of Stationary Subspace Analysis Motoaki Kawanabe, Wojciech Samek, Paul Buenau and Frank Meinecke Book Section Item not available online. (2011)
Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces Maurizio Filippone, Francesco Masulli and Stefano Rovetta Article (2011)
Approximate Dynamic Programming with Function Approximation Mohammad Azar, Vicenc Gomez Cerda and Bert Kappen Conference or Workshop Item (2011)
Approximate inference of the bandwidth in multivariate kernel density estimation Maurizio Filippone and Guido Sanguinetti Article (2011)
ASAP: Automatic Semantics-Aware Analysis of Network Payloads Tammo Krüger, Nicole Krämer and Konrad Rieck Article (2011)
Asymptotic Performance Guarantee for Online Reinforcement Learning with the Least-Squares Regression Mohammad Azar and Bert Kappen Conference or Workshop Item Item not available online. (2011)
Automatic foreground-background refocusing Alexander Loktyushin and Stefan Harmeling Conference or Workshop Item Item not available online. (2011)
ℓ 1-Penalized Linear Mixed-Effects Models for BCI Siamac Fazli, Marton Danoczy, Jürg Schelldorfer and Klaus-Robert Müller Conference or Workshop Item (2011)
Bagged Structure Learning of Bayesian Networks Gal Elidan Conference or Workshop Item (2011)
Batch and online learning algorithms for nonconvex Neyman-Pearson classification Gilles Gasso, Aristidis Pappaioannou, Marina Spivak and Leon Bottou Article (2011)
Better algorithms for selective sampling Francesco Orabona and Nicolò Cesa-Bianchi Conference or Workshop Item Item not available online. (2011)
Binary Similarity Measures and their Applications in Machine Learning Ben Veal Thesis (2011)
Book review: "B. Øksendal, A. Sulem, Applied Stochastic Control of Jump Diffusions" Subramanian Ramamoorthy Other Item not available online. (2011)
Boosting with Maximum Adaptive Sampling Charles Dubout and Francois Fleuret Conference or Workshop Item (2011)
Catching Up Faster by Switching Sooner: A Predictive Approach to Adaptive Estimation with an application to the AIC-BIC Dilemma. Tim Erven, van, Peter Grünwald and Steven de Rooij Article Item not available online. (2011)
Causation and Prediction Challenge: Challenges in Machine Learning, volume 2 Book (2011)
Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning Gisbert Schneider, Pierre Baldi and Klaus-Robert Müller Article Item not available online. (2011)
Classification-based Policy Iteration with a Critic Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh and Bruno Scherer Conference or Workshop Item Item not available online. (2011)
Clustering large data sets described with discrete distributions and its application on TIMSS data set Vladimir Batagelj, Barbara Japelj Pavešić and Simona Korenjak Černe Article Item not available online. (2011)
Clustering of distributions : a case of patent citations Vladimir Batagelj, Simona Korenjak - Černe and Nataša Kejžar Article Item not available online. (2011)
Clustgrams: an extension to histogram densities based on the minimum description length principle Panu Luosto and Petri Kontkanen Article Item not available online. (2011)
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2011)
Comparing machines and humans on a visual categorization test Francois Fleuret, Ting Li, Charles Dubout, Emma K. Wampler, Steven Yantis and Donald Geman Article Item not available online. (2011)
Complexity of Inference in Latent Dirichlet Allocation David Sontag and Daniel Roy Article Item not available online. (2011)
Computation and Learning in Biological Networks of Neurons: Theoretical Analysis, Computer Simulations, and Analysis of Experimental Data Stefan Klampfl Thesis Item not available online. (2011)
Computation Using Noise-Based Logic: Efficient String Verification Over a Slow Communication Channel Tamas Horvath, Laszlo, B. Kish and Sunil P. Khatri Article Item availablity restricted. (2011)
Computation using noise-based logic: efficient string verification over a slow communication channel Laszlo B. Kish, Sunil P. Khatri and Tamas Horvath Article Item not available online. (2011)
Computing Atom Mappings for Biochemical Reactions without Subgraph Isomorphism Markus Heinonen, Sampsa Lappalainen, Taneli Mielikäinen and Juho Rousu Article Item not available online. (2011)
Constructive Adpositional Grammars: Foundations of Constructive Linguistics Federico Gobbo and Marco Benini Book (2011)
Constructive heuristics for the canister filling problem Janez Žerovnik and Gašper Žerovnik Article Item not available online. (2011)
Content-Based Image Retrieval with Relevance Feedback Using Random Walks Samuel Rota Bulò, Massimo Rabbi and Marcello Pelillo Article Item not available online. (2011)
Correlations and co-occurrences of taxa: the role of temporal, geographic and taxonomic restrictions Aleksi Kallio, Kai Puolamäki, Mikael Fortelius and Heikki Mannila Article Item availablity restricted. (2011)
Curvature variation minimizing cubic Hermite interpolants Gašper Jaklic and Emil Žagar Article Item not available online. (2011)
Cyclic bundle Hamiltonicity Irena Hrastnik Ladinek and Janez Žerovnik Article Item not available online. (2011)
Datasets of the Unsupervised and Transfer Learning Challenge Isabelle Guyon Monograph (2011)
Deep Sparse Rectifier Networks Xavier Glorot, Antoine Bordes and Yoshua Bengio Article (2011)
Demodulation as Probabilistic Inference Richard Turner and Maneesh Sahani Article Item not available online. (2011)
Detection of correlations Ery Arias-Castro, Sébastien Bubeck and Gábor Lugosi Article Item not available online. (2011)
Dimensionality Reduction for Data Visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (2011)
Direct Local Pattern Sampling by Efficient Two-Step Random Procedures Mario Boley, Claudio Lucchese, Daniel Paurat and Thomas Gaertner Conference or Workshop Item Item not available online. (2011)
Discriminative learning of Bayesian networks via factorized conditional log-likelihood Alexandra Carvalho, Teemu Roos, Arlindo Oliveira and Petri Myllymäki Article (2011)
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach Xavier Glorot, Antoine Bordes and Yoshua Bengio Conference or Workshop Item (2011)
Edge connectivity in difference graphs and some new constructions of partial sum families Dragan Marušič, Klavdija Kutnar, Luis Martínez and Alexandre Araluze Article Item not available online. (2011)
Effective privacy amplification for secure classical communications Tamas Horvath, Laszlo B. Kish and Jacob Scheuer Article Item not available online. (2011)
Efficient inference in matrix-variate Gaussian models with iid observation noise Oliver Stegle, Christoph Lippert, Joris Mooij, Neil Lawrence and Karsten Borgwardt Conference or Workshop Item (2011)
Efficient learning with partially observed attributes Nicolò Cesa-Bianchi, Shai Shalev-Shwartz and Ohad Shamir Article Item not available online. (2011)
Efficient multioutput gaussian processes through variational inducing kernels Mauricio Alvarez, David Luengo-Garcia, Michalis Titsias and Neil Lawrence Article (2011)
Ensemble methods: a review Matteo Re and Giorgio Valentini Book Section (2011)
Estimating conditional quantiles with the help of the pinball loss Ingo Steinwart and Andreas Christmann Article Item not available online. (2011)
Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling Book Section Item not available online. (2011)
Fast removal of non-uniform camera shake Michael Hirsch, Christian Schuler, Stefan Harmeling and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2011)
Finite-Sample Analysis of Lasso-TD Mohammad Ghavamzadeh, Alessandro Lazaric, Remi Munos and Matthew Hoffman Conference or Workshop Item (2011)
Flag graphs and their applications in mathematical chemistry for benzenoids Tomaž Pisanski and Alexandru T Balaban Article Item not available online. (2011)
Formal and Computational Properties of the Confidence Boost of Association Rules José Balcázar Other (2011)
From Structural Syntax to Constructive Adpositional Grammars Federico Gobbo and Marco Benini Conference or Workshop Item (2011)
Gene Regulatory Network and Spatial Computation: A Case Study Sylvain Cussat-Blanc, Nicolas Bredeche, Hervé Luga, Yves Duthen and Marc Schoenauer Conference or Workshop Item (2011)
Generalization bounds for logical analysis of data Martin Anthony Article Item not available online. (2011)
Generalizing from several related classification tasks to a new unlabeled sample Gilles Blanchard, Gyemin Lee and Clayton Scott Article (2011)
Generic Expression Hardness Results for Primitive Positive Formula Comparison. Simone Bova, Hubert Ming Chen and Matthew Valeriote Article Item not available online. (2011)
Good Similarity Learning for Structured Data Aurélien Bellet, Amaury Habrard and Marc Sebban Conference or Workshop Item Item not available online. (2011)
Graph theory and the Jahn-Teller theorem Tomaž Pisanski, Arnout Ceulemans, E. Lijnen, Patrick W. Fowler and Roger B. Mallion Article Item not available online. (2011)
Graph-Based Quadratic Optimization: A Fast Evolutionary Approach Samuel Rota Bulò, Marcello Pelillo and Immanuel M. Bomze Article Item not available online. (2011)
Graphs with given number of cut-edges and minimal value of Wiener number Petra Šparl and Janez Žerovnik Article Item not available online. (2011)
Greedy Learning of Binary Latent Trees Stefan Harmeling and Christopher Williams Article Item not available online. (2011)
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model David Reichert, Peggy Series and Amos Storkey Article Item not available online. (2011)
Handbook of Statistical Bioinformatics Book Item not available online. (2011)
Handling Expensive Optimization with Large Noise Rémi Coulom, Philippe Rolet, Nataliya Sokolovska and Olivier Teytaud Conference or Workshop Item Item not available online. (2011)
Hands-on Pattern Recognition: Challenges in Machine Learning, volume 1 Book (2011)
Hierarchical generative biclustering for MicroRNA Expression Analysis Jose Caldas and Samuel Kaski Article Item not available online. (2011)
High Frequency Statistical Arbitrage via the Optimal Thermal Causal Path CVL Raju Monograph Item not available online. (2011)
High-dimensional random geometric graphs and their clique number Luc Devroye, Andras Gyorgy, Gábor Lugosi and Frederic Udina Article Item not available online. (2011)
How the result of graph clustering methods depends on the construction of the graph Markus Maier, Ulrike v. Luxburg and Matthias Hein Article Item not available online. (2011)
Identifiability of Causal Graphs using Functional Models Jonas Peters, Joris Mooij, Dominik Janzing and Bernhard Schölkopf Conference or Workshop Item (2011)
Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering Alberto Bertoni, Matteo Re, Francesco Sacca and Giorgio Valentini Book Section Item not available online. (2011)
Inferring Multiple Graphical Structures Julien Chiquet, Yves Grandvalet and Christophe Ambroise Article (2011)
Infinite multiple membership relational modeling for complex networks Mikkel N. Schmidt, Morten Mørup and Lars Kai Hansen Conference or Workshop Item (2011)
Interactive Structured Output Prediction: Application to Chromosome Classification Jose Oncina and Enrique Vidal Article (2011)
Isomorphism checking of I-graphs Tomaž Pisanski, Boris Horvat and Arjana Žitnik Article Item not available online. (2011)
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio Article Item not available online. (2011)
L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI Siamac Fazli, Marton Danoczy, Juerg Schelldorfer and Klaus-Robert Müller Article Item availablity restricted. (2011)
Large-Scale Convex Minimization with a Low-Rank Constraint Shai Shalev-Shwartz, Alon Gonen and Ohad Shamir Conference or Workshop Item (2011)
Learning anticipation policies for robot table tennis Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf and Jan Peters Conference or Workshop Item (2011)
Learning from Noisy Data under Distributional Assumptions Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2011)
Learning functional linkage networks with a cost-sensitive approach Alberto Bertoni, Marco Frasca, Guliano Grossi and Giorgio Valentini Conference or Workshop Item (2011)
Learning Good Edit Similarities with Generalization Guarantees Aurélien Bellet, Amaury Habrard and Marc Sebban Conference or Workshop Item Item availablity restricted. (2011)
Learning inverse kinematics with structured prediction Botond Bocsi, Duy Nguyen-Tuong, Lehel Csato, Bernhard Schölkopf and Jan Peters Conference or Workshop Item (2011)
Learning Kernel Based Halfspaces with the 0-1 Loss Shai Shalev-Shwartz, Ohad Shamir and Karthik Sridharan Article (2011)
Learning noisy linear classifiers via adaptive and selective sampling Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile Article Item not available online. (2011)
Learning of causal relations John Quinn, Joris Mooij, Tom Heskes and Michael Biehl Conference or Workshop Item (2011)
Learning Structured Embeddings of Knowledge Bases Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio Conference or Workshop Item Item not available online. (2011)
Logic-based Event Recognition Alexander Artikis, Anastasios skarlatidis, Fancois Portet and Georgios Paliouras Article (2011)
Melt mass flow measurement in mineral wool production Alen Orbanic, Matjaž Eberlinc, Tom Bajcar and Brane Širok Article Item not available online. (2011)
Minimax policies for combinatorial prediction games Jean-Yves Audibert, Sébastien Bubeck and Gábor Lugosi Conference or Workshop Item Item not available online. (2011)
Modeling Micro-Movement Variability in Mobility Studies Dirk Hecker, Christine Körner, Hendrik Stange, Daniel Schulz and Michael May Book Section Item not available online. (2011)
MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods Matthias Hofmann, Ilja Bezrukov, Frederic Mantlik, Philip Aschoff, Florian Steinke, Thomas Beyer, Bernd J. Pichler and Bernhard Schölkopf Article Item not available online. (2011)
Multi-Bandit Best Arm Identification Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric and Sebastien Bubeck Conference or Workshop Item (2011)
Multi-way set enumeration in weight tensors Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf Article Item not available online. (2011)
Multi-way set enumeration in weight tensors Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf Article Item not available online. (2011)
Multi-way set enumeration in weight tensors Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf Article Item not available online. (2011)
Multiclass Learnability and the ERM principle Amit Daniely, Sivan Sabato, Shai Ben-David and Shai Shalev-Shwartz Conference or Workshop Item (2011)
Multilaterals in configurations Tomaž Pisanski, Marko Boben and Branko Grünbaum Article Item not available online. (2011)
Neuronal adaptation for sampling-based probabilistic inference in perceptual bistability David Reichert, Peggy Seriès and Amos Storkey Conference or Workshop Item Item not available online. (2011)
Noisy Search with Comparative Feedback Shiau Hong Lim and Peter Auer Conference or Workshop Item (2011)
Non-stationary correction of optical aberrations Christian Schuler, Michael Hirsch, Stefan Harmeling and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2011)
Nonparametric divergence estimators for independent subspace analysis Barnabas Poczos, Zoltan Szabo and Jeff Schneider Conference or Workshop Item Item availablity restricted. (2011)
Nonparametric independent process analysis Zoltan Szabo and Barnabas Poczos Conference or Workshop Item Item availablity restricted. (2011)
Nonparametric mixed membership models using the IBP compound Dirichlet process Sinead Williamson, Chong Wang, Katherine Heller and David M. Blei Book Section Item not available online. (2011)
On Causal Discovery with Cyclic Additive Noise Models Joris Mooij, Dominik Janzing, Tom Heskes and Bernhard Schölkopf Conference or Workshop Item (2011)
On cubic non-Cayley vertex-transitive graphs Dragan Marušič, Klavdija Kutnar and Cui Zhang Article Item not available online. (2011)
On dihedrants admitting arc-regular group actions Dragan Marušič, Mikhail Muzychuk and István Kovács Article Item not available online. (2011)
On semiregular elements of solvable groups Dragan Marušič and Edward Dobson Article Item not available online. (2011)
On the computability and complexity of bayesian reasoning Daniel Roy Conference or Workshop Item Item not available online. (2011)
On the models of cross-linking efficiency of cotton cellulose obtained by genetic programming Maja Rotovnik, Miran Brezočnik, Olivera Šauperl and Janez Žerovnik Article Item not available online. (2011)
On the relation between realizable and non-realizable cases of the sequence prediction problem. Daniil Ryabko Article Item not available online. (2011)
Online group-structured dictionary learning Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2011)
Online Learning of Noisy Data Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Article (2011)
Online learning of noisy data with kernels Nicolò Cesa-Bianchi, Shai Shalev-Shwartz and Ohad Shamir Article Item not available online. (2011)
Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction Michael Hirsch, Stefan Harmeling, Suvrit Sra and Bernhard Schölkopf Article Item not available online. (2011)
Optimal control theory and the linear Bellman Equation Bert Kappen Book Section Item not available online. (2011)
Optimal Web-scale Tiering as a Flow Problem G Leung, Novi Quadrianto, AJ Smola and K Tsioutsiouliklis Conference or Workshop Item (2011)
Parametric Control of Captured Mesh Sequences for Real-time Animation Dan Casas Guix, Margara Tejera Padilla, Jean-Yves Guillemaut and Adrian Hilton Article (2011)
Petra. A survey on known upper bounds for multichromatic number for hexagonal graphs Petra Šparl Conference or Workshop Item Item not available online. (2011)
Phase transition in the family of p-resistances. Morteza Alamgir and Ulrike v. Luxburg Conference or Workshop Item Item not available online. (2011)
Planar cubic G [sup] 1 interpolatory splines with small strain energy. Gašper Jaklic and Emil Žagar Article Item not available online. (2011)
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Predictive Active Set Selection Methods for Gaussian Processes Ricardo Henao and Ole Winther Article Item availablity restricted. (2011)
Probabilistic Event Calculus based on Markov Logic Networks. Anastasios Skarlatidis, George Paliouras, George Vouros and Alexander Artikis Conference or Workshop Item Item availablity restricted. (2011)
Probabilistic Learning and Optimization Applied to Quantitative Finance CVL Raju Thesis Item not available online. (2011)
Proceedings of the Fourth Workshop on Information Theoretic Methods in Science and Engineering (Witmse 2011) Book (2011)
Projective Limit Random Probabilities on Polish Spaces Peter Orbanz Article (2011)
Pruning nearest neighbor cluster trees. Ulrike v. Luxburg and Samory Kpotufe Conference or Workshop Item Item not available online. (2011)
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Refining causality: who copied from whom? Tristan Snowsill, Nick Fyson, Tijl De Bie and Nello Cristianini Book Section (2011)
Regularized Least Squares Temporal Difference learning with nested L2 and L1 penalization Matthew Hoffman, Alessandro Lazaric, Mohammad Ghavamzadeh and Remi Munos Conference or Workshop Item Item not available online. (2011)
Reinforcement learning with reference tracking control in continuous state spaces Joseph Hall, Carl Edward Rasmussen and Jan Maciejowski Conference or Workshop Item (2011)
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Removing noise from astronomical images using a pixel-specific noise model Christopher Burger, Bernhard Schölkopf and Stefan Harmeling Conference or Workshop Item Item not available online. (2011)
Results of the Active Learning Challenge Isabelle Guyon, Gavin Cawley, Gideon Dror and Vincent Lemaire Conference or Workshop Item (2011)
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Robust cutpoints in the logical analysis of data Martin Anthony and Joel Ratsaby Article Item not available online. (2011)
Rotary polygons in configurations Marko Boben, Štefko Miklavčič and Primož Potočnik Article Item not available online. (2011)
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Similarity-Based Pattern Analysis and Recognition -- SIMBAD 2011 Book Item not available online. (2011)
Simpler multicoloring of triangle-free hexagonal graphs Ignasi Sau Walls, Petra Šparl and Janez Žerovnik Article Item not available online. (2011)
Simultaneously Satisfying Linear Equations Over $\mathbb{F}_2$: MaxLin2 and Max-$r$-Lin2 Parameterized Above Average R. Crowston, M. Fellows, G. Gutin, M. Jones, F. Rosamond, S. Thomasse and A. Yeo Conference or Workshop Item (2011)
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Speedy Q-Learning Mohammad Azar, R. Munos, M. Ghavamzadaeh and Bert Kappen Conference or Workshop Item Item not available online. (2011)
Speedy Q-Learning Mohammad Gheshlaghi Azar, Remi Munos, Mohammad Ghavamzadeh and Hilbert Kappen Conference or Workshop Item (2011)
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Stochastic Optimal Control of State Constrained Systems Bart Broek, W. Wiegerinck and Bert Kappen Article Item not available online. (2011)
Structured Class-labels in Random Forests for Semantic Image Labeling Peter P. Kontschieder, Samuel Rota Bulò, Horst Bischof and Marcello Pelillo Conference or Workshop Item Item not available online. (2011)
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Switched Latent Force Models for Movement Segmentation Mauricio A. Alvarez, Jan Peters, Bernhard Schölkopf and Neil D. Lawrence Conference or Workshop Item (2011)
Tasting Families of Features for Image Classification Charles Dubout and Francois Fleuret Conference or Workshop Item Item not available online. (2011)
The 2009 Knowledge Discovery and Data Mining Competition (KDD Cup 2009) Book (2011)
The beauty of maths Martin Anthony Article Item not available online. (2011)
The complexity of obtaining a distance-balanced graph Primož Lukšic and Sergio Cabello Article Item not available online. (2011)
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The MASH project Francois Fleuret, Philip Abbet, Charles Dubout and Leonidas Lefakis Conference or Workshop Item Item not available online. (2011)
The Stationary Subspace Analysis Toolbox Jan S. Müller, Paul von Bünau, Frank Meinecke, Franz J. Kiraly and Klaus-Robert Müller Article Item not available online. (2011)
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Two problems with variational expectation maximisation for time-series models Richard Turner and Maneesh Sahani Book Section Item not available online. (2011)
Two-locus association mapping in subquadratic time Panagiotis Achlioptas, Bernhard Schölkopf and Karsten Borgwardt Conference or Workshop Item Item not available online. (2011)
Types of trusted information that make DFA identification with correction queries feasible Cristina Tirnauca and Catalin Ionut Tirnauca Conference or Workshop Item Item not available online. (2011)
Uncovering the Temporal Dynamics of Diffusion Networks Manuel Gomez Rodriguez, David Balduzzi and Bernhard Schölkopf Conference or Workshop Item (2011)
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Volatility Forecast in FX Markets using Evolutionary Computing and Heuristic Techniques CVL Raju Conference or Workshop Item Item not available online. (2011)
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Grammatical Inference's Adventures in Machine Learning Land Jean-Christophe Janodet Thesis (03 December 2010)
Introduction to Dual Decomposition for Inference David Sontag, Amir Globerson and Tommi Jaakkola Book Section Item availablity restricted. (01 December 2010)
A Framework for Mining Interesting Pattern Sets Tijl De Bie, Kleanthis-Nikolaos Kontonasios and Eirini Spyropoulou Article Item not available online. (December 2010)
Active Learning on Graphs via Spanning Trees Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (December 2010)
Advances in Neural Information Processing Systems 23 Book Item not available online. (December 2010)
All-Pairs Nearest Neighbor Search on Manycore Systems Lawrence Cayton Article Item not available online. (December 2010)
Bayesian Networks for Expert Systems, Theory and Practical Applications Wim Wiegerinck, Bert Kappen and Willem Burgers Book Section Item not available online. (December 2010)
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (December 2010)
Conjugate gradient regularization under general smoothness and noise assumptions Gilles Blanchard and Peter Mathé Article Item availablity restricted. (December 2010)
Copula Bayesian Networks Gal Elidan Article (December 2010)
Cujo: Efficient Detection and Prevention of Drive-by-Download Attacks Konrad Rieck, Tammo Krueger and Andreas Dewald Conference or Workshop Item (December 2010)
Improvements to the Sequence Memoizer Jan Gasthaus and Yee Whye Teh Conference or Workshop Item (December 2010)
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LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (December 2010)
New Adaptive Algorithms for Online Classification Francesco Orabona and Koby Crammer Conference or Workshop Item (December 2010)
Online algorithms for submodular minimization with combinatorial constraints Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (December 2010)
Online Markov Decision Processes under Bandit Feedback Gergely Neu, Andras Gyorgy, Csaba Szepesvari and András Antos Book Section Item not available online. (December 2010)
Optimal Learning Rates for Kernel Conjugate Gradient Regularization Gilles Blanchard and Nicole Krämer Conference or Workshop Item (December 2010)
Optimal Learning Rates for Kernel Conjugate Gradient Regularization Gilles Blanchard and Nicole Krämer Article (December 2010)
PAC-Bayesian Analysis of Co-clustering and Beyond Yevgeny Seldin and Naftali Tishby Article (December 2010)
Proceedings of 6th European Conference on Computer Network Defense Book Item not available online. (December 2010)
Robust Cutpoints in the Logical Analysis of Numerical Data Martin Anthony and Joel Ratsaby Monograph Item not available online. (December 2010)
Semi-Supervised Feature Learning from Clinical Text Zhuoran Wang, John Shawe-Taylor and Anoop Shah Conference or Workshop Item Item not available online. (December 2010)
Robust Rigid Shape Registration Method using a Level Set Formulation Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (31 November 2010)
Learning structured models for string and tree structured data Amaury Habrard Thesis Item not available online. (29 November 2010)
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Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot Helmut Hauser, Gerhard Neumann, Auke Ijspeert and Wolfgang Maass Article Item not available online. (22 November 2010)
An Artificial Experimenter for Enzymatic Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (18 November 2010)
Graphical Models for Time Series David Barber and Taylan Cemgil Article Item not available online. (10 November 2010)
Cortical preparatory activity: Representation of movement or first cog in a dynamical machine? M.M. Churchland, John Cunningham, M.T. Kaufman, S.I. Ryu and K.V. Shenoy Article (04 November 2010)
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Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio and Juha Karhunen Article (November 2010)
Combination of supervised and semi-supervised regression models for improved unbiased estimation Jerónimo Arenas-Garcia, Carlos Moriana-Varo and Jan Larsen Conference or Workshop Item (November 2010)
Efficient Reinforcement Learning using Gaussian Processes Marc Deisenroth Book (November 2010)
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Generalization Bounds  Mark Reid Book (November 2010)
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A Triangle Inequality for p-Resistance Mark Herbster Conference or Workshop Item (30 October 2010)
Quantum walks, Ihara zeta functions and cospectrality in regular graphs Peng Ren, Tatjana Aleksić, David Emms, Richard Wilson and Edwin Hancock Article Item not available online. (26 October 2010)
A Lower Bound for Learning Distributions Generated by Probabilistic Automata Borja Balle, Jorge Castro and Ricard Gavaldà Conference or Workshop Item Item not available online. (October 2010)
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Discovering Non-binary Hierarchical Structures with Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Book Section (October 2010)
Novel methods for probabilistic inference and learning in spiking neural networks Stefan Habenschuss Thesis Item not available online. (October 2010)
Sample dispersion is better than sample discrepancy for classification Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant Monograph (October 2010)
Sentiment Knowledge Discovery in Twitter Streaming Data Albert Bifet and Eibe Frank Conference or Workshop Item Item not available online. (October 2010)
Using Contextual Representations to Efficiently Learn Context-Free Languages Alexander Clark, Rémi Eyraud and Amaury Habrard Article (October 2010)
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval Zakria Hussain, Alex Leung, Kitsuchart Pasupa, David Hardoon, Peter Auer and John Shawe-Taylor Conference or Workshop Item (20 September 2010)
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Efficient planning in large POMDPs through policy graph based factorized approximations Joni Pajarinen, Jaakko Peltonen, Ari Hottinen and Mikko A. Uusitalo Conference or Workshop Item Item not available online. (19 September 2010)
New Biologically Inspired Control Paradigms for Robots: Kinematic Synergies and Morphological Computation Helmut Hauser Thesis (15 September 2010)
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models Book (13 September 2010)
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen and Thomas Seidl Conference or Workshop Item Item not available online. (01 September 2010)
Pinview: Implicit Feedback in Content-Based Image Retrieval Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Leung, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item (01 September 2010)
A nearest neighbor data structure for graphics hardware Lawrence Cayton Conference or Workshop Item Item not available online. (September 2010)
Analyzing Bandit-based Adaptive Operator Selection Mechanisms Alvaro Fialho, Luis Da Costa, Marc Schoenauer and Michele Sebag Article (September 2010)
ASAP: Automatic Semantics-Aware Analysis of Network Payloads Tammo Krueger, Nicole Krämer and Konrad Rieck Conference or Workshop Item (September 2010)
Composite Binary Losses Mark Reid and Bob Williamson Article (September 2010)
Exploration in relational worlds Tobias Lang, Marc Toussaint and Kristian Kersting Conference or Workshop Item Item not available online. (September 2010)
Finite-Sample Analysis of Least-Squares Policy Iteration Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos Monograph Item not available online. (September 2010)
Image Similarity: From Syntax to Weak Semantics Jukka Perkiö, Antti Tuominen, Taneli Vähäkangas and Petri Myllymäki Article Item availablity restricted. (September 2010)
Leveraging Bagging for Evolving Data Streams Albert Bifet, Geoff Holmes and Bernhard Pfahringer Conference or Workshop Item Item not available online. (September 2010)
MOA: Massive Online Analysis, a framework for stream classification and clustering Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen and Thomas Seidl Conference or Workshop Item Item not available online. (September 2010)
Overview and results of Morpho Challenge 2010 Mikko Kurimo, Sami Virpioja and Ville Turunen Book Section Item not available online. (September 2010)
Overview of Morpho Challenge 2009 Mikko Kurimo, Sami Virpioja, Ville Turunen, Graeme W. Blackwood and William Byrne Book Section Item not available online. (September 2010)
Planning with Noisy Probabilistic Relational Rules Tobias Lang and Marc Toussaint Article Item not available online. (September 2010)
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010) Book (September 2010)
Proceedings of the the Third Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA) Book (September 2010)
Autonomous Experimentation: Active Learning for Enzyme Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Article Item not available online. (28 August 2010)
Biological and Functional Models of Learning in Networks of Spiking Neurons Lars Büsing Thesis (24 August 2010)
Gait Learning-Based Regenerative Model: a Level Set Approach Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (23 August 2010)
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Data Dependent Priors in PAC-Bayes Bounds John Shawe-Taylor, Emilio Parrado-Hernandez and Amiran Ambroladze Conference or Workshop Item (22 August 2010)
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Greedy Learning of Binary Latent Trees Stefan Harmeling and Christopher Williams Article Item not available online. (10 August 2010)
A Minimum Relative Entropy Principle for Learning and Acting Pedro Alejandro Ortega and Daniel Alexander Braun Article Item not available online. (August 2010)
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Bilingual sentence matching using kernel CCA Abhishek Tripathi, Arto Klami and Sami Virpioja Conference or Workshop Item Item availablity restricted. (August 2010)
Fast online anomaly detection using scan statistics Ryan Turner, Steven Bottone and Zoubin Ghahramani Conference or Workshop Item (August 2010)
Inferring task-relevant image regions from gaze data Arto Klami Conference or Workshop Item Item availablity restricted. (August 2010)
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Joris Mooij Article (August 2010)
Model Based Learning of Sigma Points in Unscented Kalman Filtering Ryan Turner and Carl Rasmussen Conference or Workshop Item (August 2010)
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings Edwin Hancock, Richard Wilson, Terry Windeatt, Ilkay Ulusoy and Terry Windeatt Book Item not available online. (August 2010)
Large margin classifiers based on affine hulls Hakan Cevikalp, William Triggs, Hasan Serhan Yavuz, Yalcin Kucuk, Mahide Kucuk and Atalay Barkana Article (29 July 2010)
Learning Finite State Machines Colin de la Higuera Conference or Workshop Item (17 July 2010)
A Probabilistic Tri-class Support Vector Machine Luis Gonzalez-Abril, Cecilio Angulo, Francisco Velasco and Juan Antonio Ortega Article Item availablity restricted. (12 July 2010)
Informed Lifting for Message-Passing Kristian Kersting, Youssef El Massaoudi, Fabian Hadiji and Babak Ahmadi Conference or Workshop Item Item not available online. (11 July 2010)
Symbolic Dynamic Programming for First-order POMDPs Scott Sanner and Kristian Kersting Conference or Workshop Item Item not available online. (10 July 2010)
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes Liva Ralaivola, Marie Szafranski and Guillaume Stempfel Article (01 July 2010)
Adaptively biasing the weights of adaptive filters Miguel Lazaro-Gredilla, Luis A. Azpicueta-Ruiz, Aníbal R. Figueiras-Vidal and Jerónimo Arenas-Garcia Article (July 2010)
Bayesian exponential family projections for coupled data sources Arto Klami, Seppo Virtanen and Samuel Kaski Conference or Workshop Item (July 2010)
Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Conference or Workshop Item (July 2010)
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary Beta-Mixing Processes Liva Ralaivola, Marie Szafranski and Guillaume Stempfel Article (July 2010)
Design and Analysis of the WCCI 2010 Active Learning Challenge Isabelle Guyon, Gavin Cawley, Gideon Dror and Vincent Lemaire Conference or Workshop Item Item availablity restricted. (July 2010)
Effective Feature Construction by Maximum Common Subgraph Sampling Leander Schietgat, Fabrizio Costa, Jan Ramon and Luc De Raedt Article Item not available online. (July 2010)
Formulating Description Logic learning as an Inductive Logic Programming task Stasinos Konstantopoulos and Angelos Charalambidis Conference or Workshop Item (July 2010)
GNUsmail: Open Framework for On-line Email Classification José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales and Albert Bifet Conference or Workshop Item Item not available online. (July 2010)
Jeux et sports : le problème des classements Rémi Coulom Article Item not available online. (July 2010)
Morpho Challenge 2005-2010: Evaluations and results Mikko Kurimo, Sami Virpioja, Ville Turunen and Krista Lagus Conference or Workshop Item (July 2010)
Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin and Tapani Raiko Article Item not available online. (July 2010)
Variational inference for nonparametric multiple Clustering Y Guan, J G Dy, D Niu and Zoubin Ghahramani Conference or Workshop Item Item not available online. (July 2010)
The Online Loop-free Stochastic Shortest-Path Problem Gergely Neu, Andras Gyorgy and Csaba Szepesvari Book Section Item not available online. (27 June 2010)
Characterising Enzymes for Information Processing: Towards an Artificial Experimenter Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (26 June 2010)
Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data Levente Kocsis and Andras Gyorgy Conference or Workshop Item Item not available online. (25 June 2010)
Pinview: Implicit Feedback in Content-Based Image Retrieval Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Leung, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item (25 June 2010)
Active learning with heteroscedastic noise András Antos, Varun Grover and Csaba Szepesvari Article Item availablity restricted. (17 June 2010)
OM-2: An Online Multi-class Multi-kernel Learning Algorithm Luo Jie, Francesco Orabona, Marco Fornoni, Barbara Caputo and Nicolò Cesa-Bianchi Conference or Workshop Item (13 June 2010)
A Practical and Conceptual Framework for Learning in Control Marc Deisenroth and Carl Edward Rasmussen Monograph (01 June 2010)
Analysis of a Classification-based Policy Iteration Algorithm Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos Conference or Workshop Item (June 2010)
Bayesian Change Point Detection for Satellite Fault Prediction Ryan Turner Conference or Workshop Item (June 2010)
Channel Decoding with a Bayesian Equalizer Luis Salamanca, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Conference or Workshop Item (June 2010)
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi, Shai Shalev-Shwartz and Ohad Shamir Conference or Workshop Item (June 2010)
Finite-Sample Analysis of LSTD Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos Conference or Workshop Item (June 2010)
Learning and generalization with the information bottleneck Ohad Shamir, Sivan Sabato and Naftali Tishby Article (June 2010)
Least-squares adaptation of affine combinations of multiple adaptive filters Luis A. Azpicueta-Ruiz, Marcus Zeller, Aníbal R. Figueiras-Vidal and Jerónimo Arenas-Garcia Conference or Workshop Item (June 2010)
Online-Batch Strongly Convex Multi Kernel Learning Francesco Orabona, Luo Jie and Barbara Caputo Conference or Workshop Item (June 2010)
Probabilistic backward and forward reasoning in stochastic relational worlds Tobias Lang and Marc Toussaint Conference or Workshop Item Item not available online. (June 2010)
Random spanning trees and the prediction of weighted graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (June 2010)
Soft LDPC decoding in nonlinear channels with Gaussian processes for classification Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Conference or Workshop Item (June 2010)
The SHOGUN Machine Learning Toolbox Sören Sonnenburg, Gunnar Raetsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl and Vojtech Franc Article (June 2010)
Feature Selection as a one-player game Romaric Gaudel and Michele Sebag Article (11 May 2010)
Spatio-Spectral Remote Sensing Image Classification With Graph Kernels Nino Shervashidze, Gustavo Camps-Valls and Karsten Borgwardt Article Item not available online. (10 May 2010)
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels Mauricio Alvarez, David Luengo-Garcia, Michalis Titsias and Neil Lawrence Conference or Workshop Item Item availablity restricted. (01 May 2010)
An Efficient Algorithm for Self-Reconfiguration Planning in a Modular Robot Thomas Larkworthy and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (May 2010)
An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning Jacques Bibaï, Pierre Savéant, Marc Schoenauer and Vincent Vidal Conference or Workshop Item (May 2010)
Fast Perceptron Decision Tree Learning from Evolving Data Streams Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Eibe Frank Conference or Workshop Item Item not available online. (May 2010)
Forecasting the electricity consumption by aggregation of specialized experts; application to Slovakian and French country-wide hourly predictions Marie Devaine, Yannig Goude and Gilles Stoltz Article (May 2010)
How Could Networks of Neurons Learn to Carry Out Probabilistic Inference Wolfgang Maass Conference or Workshop Item Item not available online. (May 2010)
How to generate the best samples for active learning in classification Benoît Gandar, Gaëlle Loosli and Guillaume Deffuant Conference or Workshop Item (May 2010)
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference Marc Toussaint, Nils Plath, Tobias Lang and Nikolay Jetchev Conference or Workshop Item Item not available online. (May 2010)
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade, Ohad Shamir, Karthik Sridharan and Ambuj Tewari Conference or Workshop Item (May 2010)
MOA: Massive Online Analysis Albert Bifet, Geoff Holmes, Richard Kirkby and Berhard Pfahringer Article Item not available online. (May 2010)
Multiclass-Multilabel Classification with More Classes than Examples Ofer Dekel and Ohad Shamir Conference or Workshop Item (May 2010)
Model-based method for transcription factor target identification with limited data Antti Honkela, Charles Girardot, E. Hilary Gustafson, Ya-Hsin Liu, Eileen E. M. Furlong, Neil Lawrence and Magnus Rattray Article (27 April 2010)
Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series Oliver Stegle, K Denby, E J Cooke, D L Wild, Zoubin Ghahramani and Karsten Borgwardt Article (08 April 2010)
Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh and Michael I. Jordan Book Section Item not available online. (April 2010)
Luckiness and Regret in Minimum Description Length Inference Steven de Rooij and Peter Grünwald Book Section (April 2010)
Models of active learning in group-structured state spaces G Bartók, Csaba Szepesvari and S Zilles Article (April 2010)
Optimal Feedback Control for Anthropomorphic Manipulators Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara and Sethu Vijayakumar Conference or Workshop Item Item availablity restricted. (April 2010)
Residual variance estimation using a nearest neighbor statistic Elia Liitiainen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (April 2010)
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks Fernando Perez-Cruz and Sanjeev Kulkarni Article (April 2010)
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping Péter Torma, Andras Gyorgy and Csaba Szepesvari Book Section Item not available online. (10 March 2010)
A Bayesian Rule for Adaptive Control Based on Causal Interventions Pedro Alejandro Ortega and Daniel Alexander Braun Conference or Workshop Item (08 March 2010)
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Spike-based Expectation Maximization Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item (01 March 2010)
A A high dimensional Wilks phenomenon. Stephane Boucheron and Pascal Massart Article (March 2010)
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TokDoc: A Self-Healing Web Application Firewall Tammo Krueger, Christian Gehl, Konrad Rieck and Pavel Laskov Article (March 2010)
Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Miguel Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (19 February 2010)
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Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation Federico Pouzols, Amaury Lendasse and Angel Barriga Article Item not available online. (16 February 2010)
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Concepts and methods from machine learning as tools for the analysis of computations in nervous systems Michael Pfeiffer Thesis Item not available online. (04 February 2010)
Correction Queries in Active Learning Cristina Tirnauca Book Section Item availablity restricted. (03 February 2010)
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams Albert Bifet Book Item not available online. (01 February 2010)
Active learning on trees and graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Monograph (February 2010)
Approximate Tree Kernels Konrad Rieck, Tammo Krueger, Ulf Brefeld and Klaus-Robert Müller Article (February 2010)
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Correction Queries and Language Learning Cristina Tirnauca Book Section Item availablity restricted. (February 2010)
European Symposium on Time Series Prediction: Special Issue Amaury Lendasse, Timo Honkela and Olli Simula Article Item availablity restricted. (February 2010)
Following the Flattened Leader Wojciech Kotlowski, Peter Grünwald and Steven De Rooij Other Item not available online. (February 2010)
Gaussian Processes and its Application to the design of Digital Communication Receivers Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Book Section Item not available online. (February 2010)
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On Finding Predictors for Arbitrary Families of Processes Daniil Ryabko Article Item not available online. (February 2010)
Robust Selective Sampling from Single and Multiple Teachers Ofer Dekel, Claudio Gentile and Karthik Sridharan Monograph Item availablity restricted. (February 2010)
Some nonasymptotic results on resampling in high dimension, I: Confidence regions Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article Item availablity restricted. (February 2010)
Some nonasymptotic results on resampling in high dimension, II: Multiple tests Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article (February 2010)
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Learning locally minimax optimal Bayesian networks Tomi Silander, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (28 January 2010)
Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Conference or Workshop Item Item not available online. (23 January 2010)
Pré-apprentissage supervisé pour les réseaux profonds Xilan Tian, Romain Herault and Gilles Gasso Conference or Workshop Item Item not available online. (19 January 2010)
Stimulus onset quashes neural variability: a widespread cortical phenomenon M.M. Churchland, B.M. Yu, John Cunningham, L.P. Sugrue, G.S. Corrado, M.R. Cohen, W.T. Newsome, A.M. Clark, P. Hosseini, D.C. Bradley, B.B. Scott, M.A. Smith, A. Kohn, J.A. Movshon, K.M. Armstrong, T. Moore, S.W. Chang, L.H. Snyder, S.I. Ryu, G. Santhanam, Maneesh Sahani and K.V. Shenoy Article Item not available online. (13 January 2010)
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Sample Complexity of Classifiers Taking Values in R^Q, Application to Multi-Class SVMs Yann Guermeur Article Item availablity restricted. (06 January 2010)
Mining Frequent Closed Rooted Trees José Balcázar, Albert Bifet and Antoni Lozano Article Item availablity restricted. (01 January 2010)
Testing composite hypotheses about discrete-valued stationary processes Daniil Ryabko Conference or Workshop Item Item not available online. (January 2010)
An improved methodology for filling missing values in spatiotemporal climate data set Antti Sorjamaa, Amaury Lendasse, Yves Cornet and Eric Deleersnijder Article Item availablity restricted. (January 2010)
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Combining Predictions for an accurate Recommender System Michael Jahrer, Andreas Töscher and Robert Legenstein Conference or Workshop Item Item not available online. (January 2010)
Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Book Section (January 2010)
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Learning Locally Minimax Optimal Bayesian Networks Tomi Silander, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (January 2010)
Listing Closed Sets of Strongly Accessible Set Systems with Applications to Data Mining Tamas Horvath, Axel Poigne and Stefan Wrobel Article Item not available online. (January 2010)
Objective Novelty of Association Rules: Measuring the Confidence Boost José Balcázar Conference or Workshop Item (January 2010)
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Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong Peter Grünwald and Wojciech Kotlowski Other Item not available online. (January 2010)
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Adaptive Optimal Feedback Control with Learned Internal Dynamics Models Djordje Mitrovic, Sethu Vijayakumar and Stefan Klanke Book Section Item availablity restricted. (2010)
Addressing Missing Values in Kernel-based Multimodal Biometric Fusion using Neutral Point Substitution N Poh, D Windridge, V Mottl, A Tatarchuk and A Eliseyev Article Item not available online. (2010)
Addressing Missing Values in Kernel-based Multimodal Biometric Fusion using Neutral Point Substitution Norman Poh and David Windridge Article Item not available online. (2010)
Agrégation séquentielle de prédicteurs : méthodologie générale et applications à la prévision de la qualité de l'air et à celle de la consommation électrique Gilles Stoltz Article (2010)
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All Ternary Permutation Constraint Satisfaction Problems Parameterized Above Average Have Kernels with Quadratic Number of Vertices G. Gutin, L. van Iersel, M. Mnich and A. Yeo Article (2010)
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Analysis of large two-mode networks : extended abstract Vladimir Batagelj and Andrej Mrvar Conference or Workshop Item Item not available online. (2010)
Analysis of SVM with Indefinite Kernels Yiming Ying, Colin Campbell and Mark Girolami Conference or Workshop Item Item not available online. (2010)
Approximate dynamic programming Rémi Munos Book Section (2010)
Approximate Dynamic Programming with Affine ADDs Scott Sanner, W Uther and KV Delgado Conference or Workshop Item (2010)
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Approximate Kernel Orthogonalization for Antenna Array Processing Angel Navia-Vazquez, M. Martínez-Ramón, L.E. García-Muñoz and C.G. Christodoulou Article Item availablity restricted. (2010)
Archetypal Analysis for Machine Learning Morten Mørup and Lars Kai Hansen Article Item availablity restricted. (2010)
Attenuation Correction for Whole Body PET/MR: Quantitative Evaluation and Lung Attenuation Estimation with Consistency Information Ilja Bezrukov, Matthias Hofmann, Philip Aschoff, Thomas Beyer, Frederic Mantlik, Bernd J. Pichler and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2010)
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Autoregressive independent process analysis with missing observations Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2010)
Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis Philippe Rolet and Olivier Teytaud Article (2010)
Bayesian Nonparametric Models Peter Orbanz and Yee Whye Teh Book Section (2010)
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Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis and Stefano Panzeri Article Item not available online. (2010)
Causality: Objectives and Assessment Isabelle Guyon, Dominik Janzing and Bernhard Schölkopf Article (2010)
Causation and Prediction Challenge Book (2010)
Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition Somayeh Danafar, Arthur Gretton and Juergen Schmidhuber Conference or Workshop Item Item not available online. (2010)
Classification of edge-transitive rose window graphs Dragan Marušič, Klavdija Kutnar and István Kovács Article Item not available online. (2010)
Closed form formula for the number of restricted compositions Gašper Jaklic, Vito Vitrih and Emil Žagar Article Item not available online. (2010)
Clustering processes Daniil Ryabko Conference or Workshop Item Item not available online. (2010)
Coherent Inference on Optimal Play in Game Trees Philipp Hennig, David Stern and Thore Graepel Article (2010)
Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms Eva Gómez-Ballester, Luisa Mico, Franck Thollard, Jose Oncina and Francisco Moreno-Seco Conference or Workshop Item Item not available online. (2010)
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Compressed Least-squares regression Odalric-Ambrym Maillard and Rémi Munos Book Section (2010)
Computational methods for metabolic reconstruction Esa Pitkänen, Juho Rousu and Esko Ukkonen Article Item not available online. (2010)
Computing automorphisms of semigroups J Araujo, Paul Buenau, J Mitchell and M Neunhoeffer Article Item not available online. (2010)
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Consistent order estimation and the local geometry of mixtures Elisabeth Gassiat and Ramon van Handel Article (2010)
Constrained geodesic trajectory generation on learnt skill manifolds. Ioannis Havoutis and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2010)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations Peter Orbanz Conference or Workshop Item (2010)
Constructive heuristics for the canister filling problem. Janez Žerovnik and Gašper Žerovnik Article Item not available online. (2010)
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Controlling humanoid robots in topology coordinates. E. Ho, T. Komura, Subramanian Ramamoorthy and Sethu Vijayakumar Conference or Workshop Item Item not available online. (2010)
Convergence of Least Squares Temporal Difference Methods Under General Conditions Huizhen Yu Conference or Workshop Item Item not available online. (2010)
Convexity of Proper Composite Binary Losses Mark Reid and Bob Williamson Conference or Workshop Item (2010)
Copula Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (2010)
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Data Mining Kai Puolamäki, Alessio Bertone, Roberto Théron, Otto Huisman, Jimmy Johansson, Silvia Miksch, Panagiotis Papapetrou and Salvo Rinzivillo Book Section Item not available online. (2010)
Decision Lists and Related Classes of Boolean Functions Martin Anthony Book Section Item not available online. (2010)
Dense 3D facial movement tracking for animation C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio Book Section Item not available online. (2010)
Dependent Indian Buffet Processes Sinead Williamson, Peter Orbanz and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2010)
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Development of a practical tool for road logistics research in Slovenia Alen Orbanic, Iztok Kavkler, Tomaž Perme, Matjaž Novak and Rok Strašek Conference or Workshop Item Item not available online. (2010)
Development of Object and Grasping Knowledge by Robot Exploration Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre Baseski, Frank Guerin, Justus Piater and Norbert Krueger Article Item not available online. (2010)
Digital model of storage and distribution centre Alen Orbanic, Iztok Kavkler, Tomaž Perme, Matjaž Novak and Rok Strašek Conference or Workshop Item Item not available online. (2010)
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution Dilan Gorur and Carl Edward Rasmussen Article Item not available online. (2010)
Distance-residual subgraphs Primož Lukšic and Tomaž Pisanski Article Item not available online. (2010)
Distributed Asynchronous Policy Iteration in Dynamic Programming Dimitri Bertsekas and Huizhen Yu Conference or Workshop Item Item not available online. (2010)
Edge fault-diameter of graph product. Janez Žerovnik Conference or Workshop Item Item not available online. (2010)
Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution Michael Hirsch, Suvrit Sra, Bernhard Schölkopf and Stefan Harmeling Conference or Workshop Item Item not available online. (2010)
Efficient frequent connected subgraph mining in graphs of bounded treewidth Tamas Horvath and Jan Ramon Article Item not available online. (2010)
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2010)
Elliptical slice sampling Iain Murray, Ryan Adams and David MacKay Article Item not available online. (2010)
Empirical Bernstein Inequalities for U-Statistics Thomas Peel, Sandrine Anthoine and Liva Ralaivola Conference or Workshop Item (2010)
Ensemble Methods of Appropriate Capacity for Multi-Class Support Vector Machines Yann Guermeur Conference or Workshop Item Item availablity restricted. (2010)
Error propagation for approximate policy and value iteration Amir Massoud Farahmand, Rémi Munos and Csaba Szepesvari Conference or Workshop Item (2010)
Evaluating Query Result Significance in Databases via Randomizations Markus Ojala, Gemma Garriga, Aris Gionis and Heikki Mannila Conference or Workshop Item (2010)
Exact inference in graphical models: is there more to it? Julian McAuley and Tiberio Caetano Conference or Workshop Item Item not available online. (2010)
Example-dependent Basis Vector Selection for Kernel-Based Classifiers Antti Ukkonen and Marta Arias Conference or Workshop Item (2010)
Exploitation of machine learning techniques in modelling phrase movements for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)
Fast Discovery of Relevant Subgroups using a Reduced Search Space Henrik Grosskreutz and Daniel Paurat Article Item availablity restricted. (2010)
Fast Discovery of Reliable k-terminal Subgraphs Melissa Kasari, Hannu Toivonen and Petteri Hintsanen Conference or Workshop Item (2010)
Fast Discovery of Reliable Subnetworks Petteri Hintsanen, Hannu Toivonen and Petteri Sevon Conference or Workshop Item (2010)
FastInf: An Efficient Approximate Inference Library Ariel Jaimovich, Ofer Meshi, Ian McGraw and Gal Elidan Article (2010)
Filtering association rules with negations on the basis of their confidence boost José Balcázar, Cristina Tirnauca and Marta E. Zorilla Conference or Workshop Item Item not available online. (2010)
Finite-Sample Analysis of Bellman Residual Minimization Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric and Mohammad Ghavamzadeh Article (2010)
Fixed-parameter Algorithms in Analysis of Heuristics for Extracting Pure Networks in Linear Programs Gregory Gutin, Daniel Karapetyan and Igor Razgon Conference or Workshop Item (2010)
Formal concept sampling for counting and threshold-free local pattern mining Mario Boley, Thomas Gaertner and Henrik Grosskreutz Article Item availablity restricted. (2010)
Frequent Pattern Hannu Toivonen Book Section Item availablity restricted. (2010)
From machine learning to natural product derivatives selectively activating transcription factor PPAR$\gamma$ M Rupp, Timon Schröter, Klaus-Robert Müller and et al Article Item not available online. (2010)
Fullerenes via their automorphism groups Dragan Marušič, Klavdija Kutnar and Dušanka Janežič Article Item not available online. (2010)
Functional Inference in FunCat through the Combination of Hierarchical Ensembles with Data Fusion Methods Nicolò Cesa-Bianchi, Matteo Re and Giorgio Valentini Conference or Workshop Item (2010)
Gaussian Process Preference Elicitation Edwin Bonilla, Shengbo Guo and Scott Sanner Conference or Workshop Item (2010)
Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen and Hannes Nickisch Article Item not available online. (2010)
Gene function prediction from synthetic lethality networks via ranking on demand Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt Article (2010)
Getting lost in space: Large sample analysis of the commute distance Ulrike v. Luxburg, Agnes Radl and Matthias Hein Conference or Workshop Item Item not available online. (2010)
Getting lost in space: Large sample analysis of the resistance distance, Ulrike von Luxburg, Agnes Radl and Matthias Hein Conference or Workshop Item Item not available online. (2010)
Graph minor analysis of reconfiguring state spaces Thomas Larkworthy and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2010)
Graph Visualization With Latent Variable Models Juuso Parkkinen, Kristian Nybo, Jaakko Peltonen and Samuel Kaski Article (2010)
Graphical Models Julian McAuley, Tiberio Caetano and Wray Buntine Book Section Item not available online. (2010)
High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex M Besserve, Y Murayama, B Schölkopf, NK Logothetis and S Panzeri Conference or Workshop Item Item not available online. (2010)
Hilbert Space Embeddings and Metrics on Probability Measures Bharath Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf and Gert Lanckriet Article Item not available online. (2010)
HOMO-LUMO Maps for Fullerenes Tomaž Pisanski and Patrick W. Fowler Article Item not available online. (2010)
How to Explain Individual Classification Decisions David Baehrens, Timon Schröter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen and Klaus-Robert Müller Article Item not available online. (2010)
Identifying Cause and Effect on Discrete Data using Additive Noise Models Jonas Peters, Dominik Janzing and Bernhard Schölkopf Article Item not available online. (2010)
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Improvements to the Sequence Memoizer Jan Gasthaus and Yee Whye Teh Book Section (2010)
Inductive Querying with Virtual Mining Views Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado and Celine Robardet Book Section Item not available online. (2010)
Inference-less Density Estimation using Copula Bayesian Networks Gal Elidan Article (2010)
Infinite non-negative matrix factorization Mikkel N. Schmidt and Morten Mørup Conference or Workshop Item (2010)
Information retrieval perspective to nonlinear dimensionality reduction for data visualization Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos and Samuel Kaski Article Item not available online. (2010)
Information Theoretic Novelty Detection Maurizio Filippone and Guido Sanguinetti Article (2010)
Information Theory of Decisions and Actions Naftali Tishby and Daniel Polani Article (2010)
Intersecting Hierarchical and Phrase-Based Models of Translation. Formal Aspects and Algorithms Marc Dymetman and Nicola Cancedda Conference or Workshop Item Item not available online. (2010)
Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery Kun Zhang, Bernhard Schölkopf and Dominik Janzing Conference or Workshop Item Item not available online. (2010)
Iterative Learning of Simple External Contextual Languages Leonor Becerra, John Case, Sanjay Jain and Frank Stephan Article Item not available online. (2010)
Jeffreys vs. Shtarkov Distributions Associated with Some Natural Exponential Families S.K. Bar-Lev, D. Bshouty, Peter Grünwald and P. Harremoes Article Item not available online. (2010)
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Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences Antoine Bordes, Nicolas Usunier and Jason Weston Conference or Workshop Item (2010)
Latent Block Model for Contingency Table Gérard Govaert and Mohamed Nadif Article (2010)
Lattices on simplicial partitions Gašper Jaklic, Jernej Kozak, Marjetka Krajnc, Vito Vitrih and Emil Žagar Article Item not available online. (2010)
Layer-wise Analysis of Deep Networks with Gaussian Kernels Gregoire Montavon, Mikio Braun and Klaus-Robert Müller Article (2010)
Learnability, Stability and Uniform Convergence Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro and Karthik Sridharan Article (2010)
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Learning Kernel-Based Halfspaces with the Zero-One Loss Shai Shalev-Shwartz, Ohad Shamir and Karthik Sridharan Conference or Workshop Item (2010)
Learning Kernel-Based Halfspaces with the Zero-One Loss Shai Shalev-Shwartz, Ohad Shamir and karthik sridharan Conference or Workshop Item (2010)
Learning Moods and Emotions from Color Combinations Luca Marchesotti, Gabriela Csurka, Craig Saunders and S Skaff Conference or Workshop Item Item not available online. (2010)
Learning the structure of deep sparse graphical models Ryan Adams, H Wallach and Zoubin Ghahramani Conference or Workshop Item (2010)
Least Squares Temporal Difference Methods: An Analysis Under General Conditions Huizhen Yu Monograph Item not available online. (2010)
Linear algorithms for online multitask classification Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile Article Item not available online. (2010)
Logic-Based Event Recognition Alexander Artikis, Anastasios Skarlatidis, Franccois Portet and George Paliouras Article Item availablity restricted. (2010)
Logic-Based Representation, Reasoning and Machine Learning for Event Recognition Alexander Artikis, Georgios Paliouras, Francois Portet and Anastasios Skarlatidis Article Item not available online. (2010)
Lossless Compression based on the Sequence Memoizer Jan Gasthaus, Frank Wood and Yee Whye Teh Conference or Workshop Item (2010)
LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard and Rémi Munos Article (2010)
Machine learning for intrusion detection: Modeling the distribution shift Bassam Farran, Craig Saunders and Mahesan Niranjan Conference or Workshop Item Item not available online. (2010)
Machine Learning Methods for Automatic Image Colorization Guillaume Charpiat, Ilja Bezrukov, Matthias Hofmann, Yasemin Altun and Bernhard Schölkopf Book Section Item not available online. (2010)
Map operations and k-orbit maps Alen Orbanic, Daniel Pellicer and Asia Ivić Weiss Article Item not available online. (2010)
Markerless tracking of dynamic 3D scans of faces Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf and Cristóbal Curio Book Section Item not available online. (2010)
Maximal width learning of binary functions Martin Anthony and Joel Ratsaby Article Item not available online. (2010)
Median-based image thresholding Jinghao Xue and Mike Titterington Article (2010)
Minimizing the repository volume for spent nuclear fuel. Gašper Žerovnik and Janez Žerovnik Conference or Workshop Item Item not available online. (2010)
Mixed connectivity of Cartesian graph products and bundles. Rija Erveš and Janez Žerovnik Conference or Workshop Item Item not available online. (2010)
Model Selection by Sequentially Normalized Least Squares Jorma Rissanen, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (2010)
Model Selection with the Loss Rank Principle Marcus Hutter and M Tran Article (2010)
Model Selection: Beyond the Bayesian/Frequentist Divide Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Article (2010)
Monte-Carlo Simulation Balancing in Practice Shih-Chieh Huang, Rémi Coulom and Shun-Shii Lin Conference or Workshop Item Item not available online. (2010)
Monte-Carlo tree search in poker using expected reward distributions Guy Van den Broek, Kurt Driessens and Jan Ramon Conference or Workshop Item Item not available online. (2010)
More data means less inference: A pseudo-max approach to structured learning Ofer Meshi, David Sontag, Tommi Jaakkola and Amir Globerson Conference or Workshop Item (2010)
Multi-agent random walks for local clustering Morteza Alamgir and Ulrike v. Luxburg Conference or Workshop Item (2010)
Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM Stefan Harmeling, Suvrit Sra, Michael Hirsch and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2010)
Multilabel Classification of Drug-like Molecules via Max-Margin Conditional Random Fields Hongyu Su, Markus Heinonen and Juho Rousu Conference or Workshop Item Item not available online. (2010)
Near-optimal Regret Bounds for Reinforcement Learning Thomas Jaksch, Ronald Ortner and Peter Auer Article (2010)
Network analysis of works on clustering and classification from web of science Vladimir Batagelj, Nataša Kejžar and Simona Korenjak-Černe Conference or Workshop Item Item not available online. (2010)
Network Simplification with Minimal Loss of Connectivity Fang Zhou, Sebastien Mahler and Hannu Toivonen Conference or Workshop Item (2010)
Neural decoding for motor and communication prostheses Byron M Yu, Gopal Santhanam, Maneesh Sahani and Krishna V Shenoy Book Section Item not available online. (2010)
Neural Networks and Boolean Functions Martin Anthony Book Section Item not available online. (2010)
New Method for Instance or Prototype Selection using Mutual Information in Time Series Prediction Alberto Guillen, Luis Herrera, Gines Rubio, Hector Pomares, Amaury Lendasse and Ignacio Rojas Article Item availablity restricted. (2010)
Non-parametric estimation of integral probability metrics Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf and Gert Lanckriet Conference or Workshop Item Item not available online. (2010)
Non-parametric regression between general Riemannian manifolds Florian Steinke, Bernhard Schölkopf and Matthias Hein Article Item not available online. (2010)
Nonparametric Regression between General Riemannian Manifolds Florian Steinke, Matthias Hein and Bernhard Schölkopf Article Item not available online. (2010)
Nonparametric tree graphical models Le Song, Arthur Gretton and Carlos Guestrin Conference or Workshop Item Item not available online. (2010)
Note on Maximal Bisection above Tight Lower Bound G. Gutin and A. Yeo Article (2010)
Novel Graph Distance Matrix Tomaž Pisanski, Milan Randić, Marjana Novič and Dejan Plavšić Article Item not available online. (2010)
On interpolation by planar cubic G[sup]2 Pythagorean-hodograph spline curves. Gašper Jaklic, Jernej Kozak, Marjetka Krajnc, Vito Vitrih and Emil Žagar Article Item not available online. (2010)
On properties of cell matrices Gašper Jaklic and Jolanda Modic Article Item not available online. (2010)
On the computational complexity of degenerate unit distance representations of graphs Boris Horvat, Tomaž Pisanski and Jan Kratochvil Conference or Workshop Item Item not available online. (2010)
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms Shai Shalev-Shwartz and Yoram Singer Article Item not available online. (2010)
On the extremal values of ratios of number of paths Tomaž Pisanski and Damir Vukičević Article Item not available online. (2010)
On-line sequential bin packing. Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak Article Item not available online. (2010)
Online Learning in Adversarial Lipschitz Environments Odalric-Ambrym Maillard and Rémi Munos Article (2010)
Online learning in adversarial lipschitz environments Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (2010)
Online Learning of Noisy Data with Kernels Nicolò Cesa-Bianchi, Shai Shalev-Shwartz and Ohad Shamir Conference or Workshop Item (2010)
Online Learning of Noisy Data with Kernels Ohad Shamir, Nicolò Cesa-Bianchi and Shai Shalev-Shwartz Conference or Workshop Item (2010)
Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Article Item not available online. (2010)
OP-KNN: Theory and Applications Qi Yu, Yoan Miche, Antti Sorjamaa, Alberto Guillen, Amaury Lendasse and Eric Severin Article Item availablity restricted. (2010)
Open loop optimistic planning Sébastien Bubeck and Rémi Munos Conference or Workshop Item (2010)
Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Article (2010)
Oriented networks design problem. Jerome Galtier, Igor Pesek, Katja Prnaver and Janez Žerovnik Article Item not available online. (2010)
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM Shai Shalev-Shwartz, Yoram Singer, Nati Srebro and Andrew Cotter Article (2010)
Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation David Windridge and Josef Kittler Article Item not available online. (2010)
PET/MRI: Observation of Non-Isotropic Positron Distribution in High Magnetic Fields and Its Diagnostic Impact A Kolb, M Hofmann, A Sauter, CC Liu, B Schölkopf and BJ Pichler Conference or Workshop Item Item not available online. (2010)
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Practical implementation of an extended VRP model Alen Orbanic, Iztok Kavkler and Rok Strašek Conference or Workshop Item Item not available online. (2010)
Precipitation and large herbivorous mammals, part I: Estimates from present-day communities J.T. Eronen, Kai Puolamäki, L. Liu, K. Lintulaaksi, J. Damuth, C. Janis and M. Fortelius Article Item availablity restricted. (2010)
Precipitation and large herbivorous mammals, part II: Application to fossil data J.T. Eronen, Kai Puolamäki, L. Liu, K. Lintulaakso, J. Damut, C. Janis and M. Fortelius Article Item availablity restricted. (2010)
Primitive bicirculant association schemes and a generalization of Wielandt's theorem Dragan Marušič, Mikhail Muzychuk and István Kovács Article Item not available online. (2010)
Privacy-preserving data-mining Henrik Grosskreutz, Benedikt Lemmen and Stefan Rueping Article Item availablity restricted. (2010)
Probabilistic Inductive Querying Using ProbLog Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vitor Santos Costa and Hannu Toivonen Book Section Item availablity restricted. (2010)
Probabilistic Learning of Boolean Functions Martin Anthony Book Section Item not available online. (2010)
Products of unit distance graphs Boris Horvat and Tomaž Pisanski Article Item not available online. (2010)
Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming Dimitri Bertsekas and Huizhen Yu Conference or Workshop Item Item not available online. (2010)
Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming Dimitri Bertsekas and Huizhen Yu Monograph Item not available online. (2010)
Random spanning trees and the prediction of weighted graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (2010)
Ranking of Gene Regulators through Differential Equations and Gaussian Processes Antti Honkela, Marta Milo, Matthew Holley, Magnus Rattray and Neil Lawrence Conference or Workshop Item Item availablity restricted. (2010)
Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and E M Airoldi Article (2010)
Ranking with kernels in Fourier space Risi Kondor and M Barbosa Conference or Workshop Item (2010)
Reducing Label Complexity by Learning From Bags Sivan Sabato, Nathan Srebreo and Naftali Tishby Conference or Workshop Item (2010)
Relevance regression learning with support vector machines Bruno Apolloni, Dario Malchiodi and Lorenzo Valerio Article Item not available online. (2010)
Reward-modulated Hebbian Learning of Decision Making Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Article Item not available online. (2010)
Scrambled objects for least-squares regression Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (2010)
Scrambled objects for least-squares regression Odalric-Ambrym Maillard and Rémi Munos Article (2010)
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Segmentation of the mean of heteroscedastic data via cross-validation Sylvain Arlot and Alain Celisse Article Item availablity restricted. (2010)
Semi-supervised novelty detection Gilles Blanchard, Gyemin Lee and Clayton Scott Article (2010)
Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2010)
Series, weighted automata, probabilistic automata and probability distributions for unranked trees Édouard Gilbert, Rémi Gilleron and Marc Tommasi Other Item not available online. (2010)
Some graphs are more strongly-isospectral than others Boris Horvat, Tomaž Pisanski and Milan Randić Article Item not available online. (2010)
Some Impossibility Results for Budgeted Learning Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2010)
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake Stefan Harmeling, Michael Hirsch and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2010)
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State Estimation Schemes for Independent Component Coupled Hidden Markov Models WP Malcolm, Novi Quadrianto and Aggoun L Article (2010)
Statistical inference for single- and multi-band probabilistic amplitude demodulation Richard Turner and Maneesh Sahani Book Section (2010)
Structural and Relational Data Mining for Systems Biology Applications Elisabeth Georgii Thesis Item not available online. (2010)
Structured Output Prediction of Anti-cancer Drug Activity Hongyu Su, Markus Heinonen and Juho Rousu Conference or Workshop Item Item not available online. (2010)
Supervised and Localized Dimensionality Reduction from Multiple Feature Representations or Kernels Mehmet Gönen and Ethem Alpaydın Conference or Workshop Item (2010)
Symbolic Dynamic Programming for First-order POMDPs Scott Sanner and Kristian Kersting Conference or Workshop Item (2010)
t-tests, F-tests and Otsu's methods for image thresholding Jinghao Xue and Mike Titterington Article (2010)
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda C Downey and Scott Sanner Conference or Workshop Item (2010)
The application of structured learning in natural language processing Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)
The IBP-compound Dirichlet process and its application to focused topic modeling Sinead Williamson, Chong Wang, Katherine Heller and David M. Blei Conference or Workshop Item Item not available online. (2010)
The Influence of the Image Basis on Modeling and Steganalysis Performance Valentin Schwamberger, Pham Hai Dang Le, Bernhard Schölkopf and Matthias O. Franz Conference or Workshop Item Item not available online. (2010)
The longest minimum-weight path in a complete graph Louigi Addario-Berry, Nicolas Broutin and Gábor Lugosi Article Item not available online. (2010)
The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile Jinghao Xue and Mike Titterington Article (2010)
The Support Vector Tree Antti Ukkonen Book Section Item not available online. (2010)
Three Paths to Relevance Samuel Kaski Book Section Item not available online. (2010)
Threshold selection from image histograms with skewed components based on maximum-likelihood estimation of skew-normal and log-concave distributions Jinghao Xue and Mike Titterington Article (2010)
Tight Sample Complexity of Large-Margin Learning Sivan Sabato, Nathan Srebro and Naftali Tishby Conference or Workshop Item (2010)
Time Management for Monte-Carlo Tree Search Applied to the Game of Go Shih-Chieh Huang, Rémi Coulom and Shun-Shii Lin Conference or Workshop Item Item not available online. (2010)
Tomographic Considerations in Ensemble Bias/Variance Decomposition David Windridge Conference or Workshop Item Item not available online. (2010)
Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints Shai Shalev-Shwartz, Nati Srebro and Tong Zhang Article (2010)
Transition from the locked in to the completely locked-in state: A physiological analysis A Ramos Murguialday, J Hill, M Bensch, S Martens, S Halder, F Nijboer, B Schölkopf, N Birbaumer and A Gharabaghi Article Item not available online. (2010)
Tree-Structured stick breaking for hierarchical data Ryan Adams, Zoubin Ghahramani and M I Jordan Conference or Workshop Item Item not available online. (2010)
True Path Rule hierarchical ensembles for genome-wide gene function prediction Giorgio Valentini Article Item availablity restricted. (2010)
Two Measures of Objective Novelty in Association Rule Mining José Balcázar Book Section (2010)
UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem Peter Auer and Ronald Ortner Article Item not available online. (2010)
Universal kernels on non-standard input spaces Andreas Christmann and Ingo Steinwart Conference or Workshop Item Item not available online. (2010)
Use of the Szeged index and the revised Szeged index for measuring network bipartivity Tomaž Pisanski and Milan Randić Article Item not available online. (2010)
Using an infinite von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy Mark Bangert, Philipp Hennig and Uwe Oelfke Conference or Workshop Item (2010)
Variational Inference and Learning for Non-Linear State-Space Models with State-Dependent Observation Noise Veli Peltola and Antti Honkela Conference or Workshop Item Item availablity restricted. (2010)
Vertex-transitive expansions of (1, 3)-trees Dragan Marušič and Marko Lovrečič Saražin Article Item not available online. (2010)
Visually controllable data mining methods Kai Puolamäki, Panagiotis Papapetrou and Jefrey Lijffijt Conference or Workshop Item (2010)
Wide diameter of Cartesian graph bundles. Iztok Banič and Janez Žerovnik Article Item not available online. (2010)
Wiener number of directed graphs and its relation to the oriented network design problem. Igor Pesek, Maja Rotovnik, Damir Vukičević and Janez Žerovnik Article Item not available online. (2010)
Total Least Squares Methods I Markovsky, D Sima and S Van Huffel Book Section (31 December 2009)
Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction Michael Hirsch, Stefan Harmeling, Suvrit Sra and Bernhard Schölkopf Article Item not available online. (22 December 2009)
Variational Inducing Kernels for Sparse Convolved Multiple Output Gaussian Processes Mauricio Alvarez, David Luengo-Garcia, Michalis Titsias and Neil Lawrence Monograph Item availablity restricted. (16 December 2009)
Spectral Clustering and Feature Selection for Microarray Data Darío García-García and Raúl Santos-Rodríguez Conference or Workshop Item Item availablity restricted. (15 December 2009)
Learning Deep Neural Networks for High Dimensional Output Problems Benjamin Labbe, Romain Herault and Clement Chatelain Conference or Workshop Item Item not available online. (13 December 2009)
Conjugate Projective Limits Peter Orbanz Conference or Workshop Item Item not available online. (12 December 2009)
System Identification in Gaussian Process Dynamical Systems Ryan Turner, Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (12 December 2009)
Hybrid model of Conditional Random Field and Support Vector Machine Qinfeng Shi, Mark Reid and Tiberio Caetano Conference or Workshop Item (11 December 2009)
Regression for Large Datasets using an Ensemble of GPU-accelerated ELMs Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (11 December 2009)
Scalable Hierarchical Multitask Learning in Sequence Biology Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (11 December 2009)
Using PCA for Probabilistic Grammatical Inference on Trees François Denis, Raphael Bailly, Edouard Gilbert and Amaury Habrard Conference or Workshop Item Item availablity restricted. (11 December 2009)
Latent Spaces for Dynamic Movement Primitives Sebastian Bitzer and Sethu Vijayakumar Conference or Workshop Item (07 December 2009)
Asymptotically optimal regularization in smooth parametric models Percy Liang, Francis Bach, Guillaume Bouchard and Michael Jordan Conference or Workshop Item (06 December 2009)
Distribution Matching for Transduction Novi Quadrianto, James Petterson and Alex Smola Conference or Workshop Item (06 December 2009)
Exponential Family Graph Matching and Ranking James Petterson, Tiberio Caetano, Julian McAuley and Jin Yu Conference or Workshop Item (06 December 2009)
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A Complete Theory of Everything (will be Subjective) Marcus Hutter Article (December 2009)
A general projection property for distribution families Y Yu, Y Li, Csaba Szepesvari and D Schuurmans Conference or Workshop Item Item not available online. (December 2009)
A geometric proof of calibration Shie Mannor and Gilles Stoltz Article (December 2009)
A PAC-Bayesian Approach to Formulation of Clustering Objectives Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (December 2009)
A SOM-based approach to estimating product properties from spectroscopic measurements Francesco Corona, Elia Liitiainen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis and Roberto Baratti Article Item availablity restricted. (December 2009)
A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction Stefan Klampfl and Wolfgang Maass Article Item not available online. (December 2009)
Adaptive False Discovery Rate Control under Independence and Dependence Gilles Blanchard and Etienne Roquain Article (December 2009)
Advances in Neural Information Processing Systems 22 Book Item not available online. (December 2009)
Algorithms and literate programs for weighted low-rank approximation with missing data I Markovsky Monograph Item not available online. (December 2009)
Analysis of SVM with indefinite kernels Yiming Ying, Colin Campbell and Mark Girolami Conference or Workshop Item Item not available online. (December 2009)
Compressed Least-Squares Regression Odalric-Ambrym Maillard and Rémi Munos Article (December 2009)
Convergent temporal-difference learning with arbitrary smooth function approximation H Maei, Csaba Szepesvari, S Bhathnagar, D Silver, D Precup and R Sutton Conference or Workshop Item Item not available online. (December 2009)
Data-driven calibration of linear estimators with minimal penalties Sylvain Arlot and Francis Bach Conference or Workshop Item (December 2009)
Discrete MDL Predicts in Total Variation Marcus Hutter Conference or Workshop Item (December 2009)
Hierarchical generative biclustering for microRNA expression analysis José Caldas and Samuel Kaski Book Section Item not available online. (December 2009)
Inter-domain Gaussian processes for sparse inference using inducing features Miguel Lazaro-Gredilla and Aníbal R. Figueiras-Vidal Conference or Workshop Item (December 2009)
Large Scale Non-parametric Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (December 2009)
Learning from Multiple Partially Observed Views -- an Application to Multilingual Text Categorization Massih Amini, Nicolas Usunier and Cyril Goutte Conference or Workshop Item (December 2009)
Metric Entropy and Gaussian Bandits Steffen Grunewalder, Jean-Yves Audibert, Manfred Opper and John Shawe-Taylor Conference or Workshop Item Item not available online. (December 2009)
Recovering sparse signals with a certain family of non-convex penalties and DC programming Gilles Gasso, Alain Rakotomamonjy and Stéphane Canu Article (December 2009)
Sensitivity analysis in HMMs with application to likelihood maximization Coquelin Pierre-Arnaud, Deguest Romain and Rémi Munos Article (December 2009)
Sparse Metric Learning via Smooth Optimization Yiming Ying, Kaizhu Huang and Colin Campbell Conference or Workshop Item Item not available online. (December 2009)
Stacked Gaussian Process Learning Marion Neumann, Kristian Kersting, Zhao Xu and Daniel Schulz Conference or Workshop Item Item not available online. (December 2009)
Visualization and Explanation of Payload-Based Anomaly Detection Konrad Rieck and Pavel Laskov Article (December 2009)
Computationally efficient methods for MDL-optimal density estimation and data clustering Petri Kontkanen Thesis (30 November 2009)
Relevant subtask learning by constrained mixture models Jaakko Peltonen, Yusuf Yaslan and Samuel Kaski Article Item not available online. (28 November 2009)
Regularized Estimation of Large Scale Gene Association Networks using Gaussian Graphical Models Nicole Krämer, Juliane Schäfer and Anne-Laure Boulesteix Article Item not available online. (24 November 2009)
Finding stationary subspaces in multivariate time series Paul von Buenau, Frank C. Meinecke, Franz Kiraly and Klaus-Robert Mueller Article (20 November 2009)
Identifying graph clusters using variational inference and links to covariance parametrization David Barber Article (13 November 2009)
Infinite Factorization of Multiple Non-parametric Views Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami and Samuel Kaski Article Item not available online. (13 November 2009)
Max-margin structured output learning in L1 norm space Sandor Szedmak, Craig Saunders, Yizhao Ni and Juho Rousu Monograph (12 November 2009)
Necessary and sufficient conditions for learning with correction queries Cristina Tirnauca and Satoshi Kobayashi Article Item availablity restricted. (06 November 2009)
Improving Adaptive Bagging Methods for Evolving Data Streams Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Ricard Gavaldà Conference or Workshop Item Item not available online. (03 November 2009)
A Non-Linear Approach for Completing Missing Values in Temporal Databases Paul Merlin, Antti Sorjamaa, Bertrand Maillet and Amaury Lendasse Article Item availablity restricted. (November 2009)
Active Learning for Network Intrusion Detection Nico Görnitz, Marius Kloft, Konrad Rieck and Ulf Brefeld Conference or Workshop Item (November 2009)
Adaptive-Resolution Reinforcement Learning with Efficient Exploration in Deterministic Domains Andrey Bernstein and Nahum Shimkin Article (November 2009)
Association mapping of traits over time using Gaussian processes Oliver Stegle and Karsten Borgwardt Conference or Workshop Item Item not available online. (November 2009)
Bounded Kernel-Based Online Learning Francesco Orabona, Joseph Keshet and Barbara Caputo Article (November 2009)
Hash Kernels for Structured Data Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola and S V N Vishwanathan Article (November 2009)
Improved Adaptive Filtering Schemes via Adaptive Combination Jerónimo Arenas-Garcia, Luis Azpicueta-Ruiz and Aníbal R. Figueiras-Vidal Conference or Workshop Item Item availablity restricted. (November 2009)
Kernel Partial Least Squares is Universally Consistent Gilles Blanchard and Nicole Krämer Conference or Workshop Item (November 2009)
Methods for estimating neural firing rates, and their application to brain-machine interfaces John Cunningham, V. Gilja, S.I. Ryu and K.V. Shenoy Article Item not available online. (November 2009)
Natural Actor-Critic Algorithms Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh and Mark Lee Article Item not available online. (November 2009)
Note on Max Lin-2 above Average R. Crowston, G. Gutin and M. Jones Article (November 2009)
Variational methods for Reinforcement Learning David Barber and Tom Furmston Conference or Workshop Item Item not available online. (November 2009)
Gene function prediction from synthetic lethality networks via ranking on demand Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt Article Item not available online. (30 October 2009)
The Causality Workbench Virtual Lab Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Olivier Guyon, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Other (30 October 2009)
Inferring branching pathways in genome-scale metabolic networks Esa Pitkänen, Paula Jouhten and Juho Rousu Article (29 October 2009)
Justifying additive-noise-model based causal discovery via algorithmic information theory Dominik / DJ Janzing and Bastian / BS Steudel Article Item not available online. (09 October 2009)
Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (08 October 2009)
Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski and Steve Gunn Conference or Workshop Item Item not available online. (04 October 2009)
An Algebraic Perspective on Boolean Function Learning Ricard Gavaldà and Denis Thérien Conference or Workshop Item Item not available online. (02 October 2009)
Shape-based Active Contours for Fast Video Segmentation Sasan Mahmoodi Article (01 October 2009)
A spiking neuron as information bottleneck Lars Büsing and Wolfgang Maass Article Item not available online. (October 2009)
Adaptive-resolution Reinforcement Learning with efficient exploration in deterministic domains Andrey Bernstein and Nahum Shimkin Article Item not available online. (October 2009)
Apprentissage de fonctions d’ordonnancement avec peu d’exemples étiquetés: une application au routage d’information, au résumé de textes et au filtrage collaboratif Tuong-Vinh Truong Thesis (October 2009)
Canonical Horn Representations and Query Learning Marta Arias and José Balcázar Conference or Workshop Item (October 2009)
Committees of Adaboost Ensembles with modified emphasis functions Vanessa Gómez-Verdejo, Jerónimo Arenas-Garcia and Aníbal R. Figueiras-Vidal Article (October 2009)
Emerging motor behaviors: learning joint coordination in articulated mobile robots Diego E. Pardo, Cecilio Angulo, Sergio del Moral and Andreu Català Article Item not available online. (October 2009)
Learning and Domain Adaptation Yishay Mansour Conference or Workshop Item (October 2009)
Markov Decision Processes with Arbitrarily Varying Rewards Jia Yuan Yu, Shie Mannor and Nahum Shimkin Article (October 2009)
Modeling and Visualizing uncertainty in gene expression clusters using dirichlet process mixtures Carl Edward Rasmussen, B. J. de la Cruz, Zoubin Ghahramani and D. L. Wild Article Item not available online. (October 2009)
Natural Actor-Critic Algorithms Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh and Mark Lee Monograph Item not available online. (October 2009)
Nonparametric Bayesian drift estimation for one-dimensional diffusion processes Yvo Pokern, Omiros Papaspiliopoulos, Gareth Roberts and Andrew Stuart Article Item not available online. (October 2009)
Residual variance estimation in machine learning Elia Liitiainen, Michel Verleysen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (October 2009)
STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (October 2009)
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control Tapani Raiko and Matti Tornio Article Item not available online. (October 2009)
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A robust Bayesian two-sample test for detecting intervals of differential gene expression Oliver Stegle, Katherine J. Denby, Emma J. Cooke, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Article Item availablity restricted. (01 September 2009)
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Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter Hilbers, Timo Honkela, Erkki Oja and Amaury Lendasse Book Section Item availablity restricted. (September 2009)
Computable Bayesian Compression for Uniformly Discretizable Statistical Models Lukasz Debowski Conference or Workshop Item Item not available online. (September 2009)
Cost Sensitive Learning based on Bregman Divergences Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaiz-Rodríguez and Jesús Cid-Sueiro Article Item availablity restricted. (September 2009)
Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series Oliver Stegle, Katherine J. Denby, Stuart McHattie, Andrew Mead, David Wild, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item (September 2009)
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Machine Learning in Systems Biology. Proc. 3rd International Workshop Saso Dzeroski, Pierre Geurts and Juho Rousu Monograph Item not available online. (September 2009)
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems Alberto Guillen, Antti Sorjamaa, Gines Rubio, Amaury Lendasse and Ignacio Rojas Book Section Item availablity restricted. (September 2009)
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Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations Jaakko Peltonen, Jarkko Venna and Samuel Kaski Article Item not available online. (07 July 2009)
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A Constructive Mathematics approach for Natural Language formal grammars. Marco Benini and Federico Gobbo Conference or Workshop Item Item not available online. (04 July 2009)
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A Multi-Class Support Vector Machine Based on Scatter Criteria Robert Jenssen, Marius Kloft, Alexander Zien, Sören Sonnenburg and Klaus-Robert Müller Other Item not available online. (01 July 2009)
Bounds on marginal probability distributions Joris Mooij and Bert Kappen Conference or Workshop Item Item not available online. (July 2009)
Convergence Results for Some Temporal Difference Methods Based on Least Squares Huizhen Yu and Dimitri Bertsekas Article Item not available online. (July 2009)
Quadratic programming and learning. Large size and parsimony Gaelle Loosli and Stéphane Canu Book Section Item not available online. (July 2009)
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Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin and Amaury Lendasse Book Section Item availablity restricted. (04 June 2009)
Score Fusion by Maximizing the Area Under the ROC Curve M. Villegas and Roberto Paredes Conference or Workshop Item Item not available online. (June 2009)
A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians Mikael Kuusela, Tapani Raiko, Antti Honkela and Juha Karhunen Conference or Workshop Item Item availablity restricted. (June 2009)
Analytic Moment-based Gaussian Process Filtering Marc Deisenroth, [Marco F] [Huber] and [Uwe D] [Hanebeck] Conference or Workshop Item Item not available online. (June 2009)
Bayesian construction of perceptrons to predict phenotypes from 584K SNP data. Luc Janss and Bert Kappen Conference or Workshop Item Item not available online. (June 2009)
Characterizing predictable classes of processes Daniil Ryabko Conference or Workshop Item Item not available online. (June 2009)
Combining local feature histograms of different granularities Ville Viitaniemi and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)
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Generalization Bounds for Learning the Kernel Yiming Ying and Colin Campbell Article Item not available online. (June 2009)
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Homogeneous Multi-Instance Learning with Arbitrary Dependence Sivan Sabato and Naftali Tishby Conference or Workshop Item (June 2009)
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Online Multi-task Learning with Hard Constraints Gábor Lugosi, Omiros Papaspiliopoulos and Gilles Stoltz Conference or Workshop Item (June 2009)
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RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks Fernando Mateo, Dusan Sovilj, Rafael Gadea and Amaury Lendasse Book Section Item availablity restricted. (June 2009)
Real Adaboost Ensembles with Emphasized Subsampling Sergio Muñoz-Romero, Vanessa Gómez-Verdejo and Jerónimo Arenas-Garcia Conference or Workshop Item Item availablity restricted. (June 2009)
Regression by dependence minimization and its application to causal inference Joris Mooij, Dominik Janzing, Jonas Peters and Bernhard Schölkopf Conference or Workshop Item (June 2009)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks Stefan Klampfl and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (June 2009)
Robust Bounds for Classification via Selective Sampling Nicolò Cesa-Bianchi, Claudio Gentile and Francesco Orabona Conference or Workshop Item (June 2009)
Robust bounds for classification via selective sampling Nicolò Cesa-Bianchi, Claudio Gentile and Francesco Orabona Conference or Workshop Item Item not available online. (June 2009)
Simulating Events of Unknown Probabilities via Reverse Time Martingales. Krzystof \L atuszy\'nski, K., Ioannis Kosmidis, Omiros Papaspiliopoulos and Gareth Roberts Article Item not available online. (June 2009)
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STDP enables spiking neurons to detect hidden causes of their inputs Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (June 2009)
Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (June 2009)
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The graphlet spectrum Risi Kondor, Nino Shervashidze and Karsten Borgwardt Conference or Workshop Item Item not available online. (June 2009)
Canonical Horn Representations and Query Learning Marta Arias and José Balcázar Monograph (20 May 2009)
A Feature Selection Methodology for Steganalysis Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Article Item availablity restricted. (May 2009)
Model adaptation with least-squares SVM for adaptive hand prosthetics Francesco Orabona, Claudio Castellini, Barbara Caputo, Emanuele Fiorilla and Giulio Sandini Conference or Workshop Item (May 2009)
Projected Equation Methods for Approximate Solution of Large Linear Systems Dimitri Bertsekas and Huizhen Yu Article Item not available online. (May 2009)
Tracking experts that learn by evolving past posteriors Wouter Koolen and Tim Erven, van Article Item not available online. (May 2009)
An assertive will for seeing and believing: introducing a feature cardinality driven distance measure to uninformative distributions Joan Garriga Conference or Workshop Item Item availablity restricted. (27 April 2009)
Adaptive Learning and Mining for Data Streams and Frequent Patterns Albert Bifet Thesis Item not available online. (24 April 2009)
A New Perspective for Information Theoretic Feature Selection Gavin Brown Conference or Workshop Item (18 April 2009)
A kernel method for unsupervised network inference Christoph Lippert, Oliver Stegle, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item Item not available online. (16 April 2009)
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Absolute Convergence of Rational Series is semi-decidable François Denis and Raphael Bailly Conference or Workshop Item Item not available online. (April 2009)
ALT '07 Special Issue Marcus Hutter and R.A. Servedio Article (April 2009)
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Novel schemes for nonlinear acoustic echo cancellation based on filter combinations Luis Azpicueta-Ruiz, Marcus Zeller, Jerónimo Arenas-Garcia and Walter Kellermann Conference or Workshop Item (April 2009)
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Scalable Semidefinite Programming using Convex Perturbations B. Kulis, Suvrit Sra and I. S. Dhillon Conference or Workshop Item Item not available online. (April 2009)
Transformations for Variational Factor Analysis to Speed up Learning Jaakko Luttinen, Alexander Ilin and Tapani Raiko Conference or Workshop Item (April 2009)
Variational Learning of Inducing Variables in Sparse Gaussian Processes Michalis Titsias Conference or Workshop Item (April 2009)
Determining membrane permeability of giant phospholipid vesicles from a series of videomicroscopy images Gašper Jaklic, Tomaž Pisanski and Primož Peterlin Article Item not available online. (27 March 2009)
Image Ranking with Implicit Feedback from Eye Movements David Hardoon and Kitsuchart Pasupa Conference or Workshop Item Item not available online. (22 March 2009)
Learning relevant eye movement feature spaces across users Zakria Hussain, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item Item not available online. (22 March 2009)
Stability of Learning Dynamics in Two-Agent, Imperfect-Information Games John M. Butterworth and Jonathan L. Shapiro Conference or Workshop Item Item availablity restricted. (18 March 2009)
Gaussian Process Dynamic Programming Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Article (13 March 2009)
The Minimum Information Principle and its Application to Neural Code Analysis Amir Globerson, Eran Stark, Eilon Vaadia and Naftali Tishby Article Item availablity restricted. (03 March 2009)
Ensemble Learning Gavin Brown Book Section (01 March 2009)
A new approach to collaborative filtering: operator estimation with spectral regularization Jacob Abernethy, Francis Bach, Theodoros Evgeniou and Jean-Philippe Vert Article (March 2009)
A note on contextual binary feature grammars Alexander Clark, Rémi Eyraud and Amaury Habrard Conference or Workshop Item Item availablity restricted. (March 2009)
Basis Function Adaptation Methods for Cost Approximation in MDP Huizhen Yu and Dimitri Bertsekas Conference or Workshop Item Item not available online. (March 2009)
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Feature Markov Decision Processes Marcus Hutter Conference or Workshop Item (March 2009)
Matrix centering and low-rank approximation I Markovsky Monograph Item not available online. (March 2009)
Optimal Precoding for Multiple-Input Multiple-Output Gaussian Channels fernando Perez-Cruz, Miguel Rodrigues and Sergio Verdu Conference or Workshop Item (March 2009)
Reliable Steganalysis Using a Minimum Set of Samples and Features Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Article Item availablity restricted. (March 2009)
Second Conference of Artificial General Intelligence Ben Goertzel, Pascal Hitzler and Marcus Hutter Book (March 2009)
Using a similarity measure for credible classification Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer Article Item not available online. (March 2009)
Practical solution techniques for first-order MDPs Scott Sanner and Craig Boutilier Article Item not available online. (25 February 2009)
Pure exploration for multi-armed bandit problems Sébastien Bubeck, Rémi Munos and Gilles Stoltz Monograph (15 February 2009)
An improved methodology for filling missing values in spatiotemporal climate data set Antti Sorjamaa, Amaury Lendasse, Yves Cornet and Eric Deleersnijder Article Item availablity restricted. (12 February 2009)
Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues Eyal Baharad, Jacob Goldberger, Moshe Koppel and Shmuel Nitzan Article (12 February 2009)
Similarity Learning for Nearest Neighbor Classification Ali Mustafa Qamar, Eric Gaussier, Jean-Pierre Chevallet and Joo Hwee Lim Conference or Workshop Item Item not available online. (10 February 2009)
A Nonconformity Approach to Model Selection for SVMs David Hardoon, Zakria Hussain and John Shawe-Taylor Monograph Item availablity restricted. (01 February 2009)
A Simple Alternative Derivation of the Expectation Correction Algorithm David Barber and Bertrand Mesot Article (February 2009)
CSM-SD: Methodology for contrast set mining through subgroup discovery Petra Kralj, Nada Lavrac, Dragan Gamberger and Antonija Krstačić Article Item not available online. (February 2009)
Estimation and Model Selection for an IDE-Based Spatio-Temporal Model Kenneth Scerri, Michael Dewar and visakan kadirkamanathan Article Item not available online. (February 2009)
Fitted Q-iteration by Advantage Weighted Regression Gerhard Neumann and Jan Peters Conference or Workshop Item Item not available online. (February 2009)
Hebbian learning of Bayes optimal decisions Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (February 2009)
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Benjamin Schrauwen, Lars Büsing and Robert Legenstein Conference or Workshop Item Item not available online. (February 2009)
Sudoku ihmisen ja koneen ratkaisemana Tapani Raiko Article Item not available online. (February 2009)
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining Petra Kralj, Nada Lavrac and Geoffrey I. Webb Article (February 2009)
Detection of changes in patterns of brain activity according to musical tonality Tom Diethe, Simon Durrant, John Shawe-Taylor and Heinrich Neubauer Conference or Workshop Item (31 January 2009)
Fast Prediction on a Tree Mark Herbster, Massimiliano Pontil and Sergio Rojas Conference or Workshop Item (21 January 2009)
Online Prediction on Large Diameter Graphs Mark Herbster, Guy Lever and Massimiliano Pontil Conference or Workshop Item (21 January 2009)
Supervised nonlinear dimensionality reduction by neighbor retrieval Jaakko Peltonen, Helena Aidos and Samuel Kaski Conference or Workshop Item Item not available online. (16 January 2009)
A Variational Approach to Semi-Supervised Clustering Peng Li, Yiming Ying and Colin Campbell Conference or Workshop Item (01 January 2009)
Distributed Least Square for Consensus Building in Sensor Networks Fernando Perez-Cruz and Sanjeev Kulkarni Conference or Workshop Item (January 2009)
Algorithm for Finding $k$-Vertex Out-trees and its Application to $k$-Internal Out-branching Problem. N. Cohen, F. Fomin, Gregory Gutin, E.J. Kim, S. Saurabh and A. Yeo Article (January 2009)
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Coding on countably infinite alphabets Stephane Boucheron, Aurelien Garivier and Elisabeth Gassiat Article (January 2009)
Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation Michael Dewar, Kenneth Scerri and visakan kadirkamanathan Article Item not available online. (January 2009)
Improved equilibria via public service advertising Maria-Florina Balcan, Yishay Mansour and Avrim Blum Conference or Workshop Item (January 2009)
Learning Complex Motions by Sequencing Simpler Motion Templates Gerhard Neumann and Jan Peters Conference or Workshop Item Item not available online. (January 2009)
Nonparametric nearest-neighbor-based sequential investment strategies Laszlo Gyorfi, Frederic Udina and Harro Walk Article Item not available online. (January 2009)
Optimized Concatenated LDPC Codes for Joint Source-Channel Coding Maria Fresia, Fernando Perez-Cruz and Vicent Poor Conference or Workshop Item (January 2009)
When training and test sets are different: characterising learning transfer Amos Storkey Book Section Item not available online. (January 2009)
MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation Fernando Perez-Cruz, Miguel Rodrigues and Sergio Verdu Article (2009)
A Benchmark Data Set for In Silico Prediction of Ames Mutagenicity Katja Hansen, Timon Schröter, Klaus-Robert Müller and et al Article Item not available online. (2009)
Soft LDPC decoding in nonlinear channels with Gaussian processes for classification Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Conference or Workshop Item (2009)
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining Petra Kralj, Nada Lavrac and Geoff Webb Article Item not available online. (2009)
(l, k)-routing on plane grids. Florian Huc, Ignasi Sau Walls and Janez Žerovnik Article Item not available online. (2009)
A Bayesian Approach to Graph Regression with Relevant Subgraph Selection Silvia Chiappa, Hiroto Saigo and Koji Tsuda Conference or Workshop Item (2009)
A Block Model Suitable for Sparse Graphs Juuso Parkkinen, Janne Sinkkonen, Adam Gyenge and Samuel Kaski Book Section Item not available online. (2009)
A census of edge-transitive planar tilings Tomaž Pisanski and Karin Cvetko-Vah Conference or Workshop Item Item not available online. (2009)
A complete classification of cubic symmetric graphs of girth 6 Dragan Marušič and Klavdija Kutnar Article Item not available online. (2009)
A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation Richard S. Sutton, Csaba Szepesvari and Hamid R. Maei Conference or Workshop Item (2009)
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A geometric approach to confidence sets for ratios: Fieller's theorem, generalizations and bootstrap Ulrike v. Luxburg and Volker Franz Article Item not available online. (2009)
A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation Frank Wood and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)
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A MDL approach to HMM with Poisson and Gaussian emissions. Application to order indentification. Antoine Chambaz, Aurelien Garivier and Elisabeth Gassiat Article (2009)
A Memetic Algorithm for the Multidimensional Assignment Problem Gregory Gutin and Daniel Karapetyan Conference or Workshop Item (2009)
A Mixture Model for the Evolution of Gene Expression in Non-homogeneous Datasets Gerald Quon, Yee Whye Teh, Esther Chan, Timothy Hughes, Michael Brudno and Quaid Morris Conference or Workshop Item Item not available online. (2009)
A new imputation method for incomplete binary data Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer Monograph Item not available online. (2009)
A Novel Method for Learning Policies from Constrained Motion Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar Conference or Workshop Item Item availablity restricted. (2009)
A path following algorithm for the graph matching problem mikhail zaslavskiy, Francis Bach and Jean-Philippe Vert Article Item not available online. (2009)
A Probabilistic Framework for 3D Visual Object Representation Renaud Detry, Nicolas Pugeault and Justus Piater Article Item not available online. (2009)
A randomized approximation algorithm for computing bucket orders Antti Ukkonen, Kai Puolamäki, Aristides Gionis and Heikki Mannila Article Item not available online. (2009)
A Selection of Useful Theoretical Tools for the Design and Analysis of Optimization Heuristics Gregory Gutin and D. Karapetyan Article (2009)
A signal theory approach to support vector classification: The sinc kernel J. D. B. Nelson, Bob Damper, Steve Gunn and B. Guo Article Item not available online. (2009)
A Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (2009)
A structured model of video reproduces primary visual cortical organisation Pietro Berkes, Richard Turner and Maneesh Sahani Article Item not available online. (2009)
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning Massih Amini, François Laviolette and Nicolas Usunier Conference or Workshop Item (2009)
Accelerated Gibbs sampling for the Indian buffet process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)
Accelerated Gibbs Sampling for the Indian Buffet Process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)
Agnostic Online Learning Shai Ben-David, David Pal and Shai Shalev-Shwartz Conference or Workshop Item (2009)
An Analysis of Generalization Error in Relevant Subtask Learning Keisuke Yamazaki and Samuel Kaski Book Section Item not available online. (2009)
An efficient sequential Monte Carlo algorithm for coalescent clustering Dilan Gorur and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)
An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering Dilan Gorur and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis G. Schweikert, C. Widmer, B. Schölkopf and G. Rätsch Conference or Workshop Item (2009)
An Evolutionary Approach to Automatic Video Editing Tinghuai Wang, Andrew Mansfield, Rui Hu and John Collomosse Conference or Workshop Item (2009)
An experimental analysis of the impact of accuracy degradation in SVM classification Dario Malchiodi Article Item not available online. (2009)
An implementation of the Pathfinder algorithm for sparse networks and its application on text networks Vladimir Batagelj, Vid Podpečan and Anže Vavpetič Conference or Workshop Item Item not available online. (2009)
An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction S. Harmeling, S. Sra, M. Hirsch and B. Schölkopf Monograph (2009)
An introduction to kernel learning algorithms P.V. Gehler and B. Schölkopf Book Section Item not available online. (2009)
An LP View of the M-best MAP problem Menachem Fromer and Amir Globerson Article (2009)
Analysis and optimization of the distribution centre Alen Orbanic, Iztok Kavkler, Rok Strašek, Matjaž Novak and Tomaž Perme Conference or Workshop Item Item not available online. (2009)
Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror and David Vogel Article (2009)
Approximate low-rank factorization with structured factors I Markovsky and M Niranjan Article (2009)
Archipelago: Nonparametric Bayesian Semi-Supervised Learning Ryan Adams and Zoubin Ghahramani Article (2009)
Archipelago: nonparametric bayesian semi-supervised learning Ryan Adams and Zoubin Ghahramani Conference or Workshop Item (2009)
Assigning Automatic Regularization Parameters in Image Restoration Ignazio Gallo and Elisabetta Binaghi Conference or Workshop Item (2009)
Asymptotically optimal regularization in smooth parametric models Percy Liang, Francis Bach, Guillaume Bouchard and Michael Jordan Conference or Workshop Item Item not available online. (2009)
Bayesian discovery of linear acyclic causal models Patrik Hoyer and Antti Hyttinen Conference or Workshop Item (2009)
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences M.W. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Conference or Workshop Item (2009)
Bayesian Exponential Family PCA Shakir Mohamed, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)
Bayesian non-negative matrix factorization Mikkel N. Schmidt, Ole Winter and Lars Kai Hansen Conference or Workshop Item Item not available online. (2009)
Bayesian nonnegative matrix factorization with volume prior for unmixing of hyperspectral images Morten Arngren, Mikkel N. Schmidt and Jan Larsen Conference or Workshop Item Item not available online. (2009)
Bayesian solutions to the label switching problem Kai Puolamäki and Samuel Kaski Article Item not available online. (2009)
Bayesian Solutions to the Label Switching Problem Kai Puolamäki and Samuel Kaski Book Section (2009)
Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar Article Item availablity restricted. (2009)
Better than optimal: fast identification of custom instruction candidates J. Reddington, G. Gutin, A. Yeo, A. Johnstone and E. Scott Conference or Workshop Item (2009)
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michele Sebag and Olivier Teytaud Article Item not available online. (2009)
Bounds for multistage stochastic programs using supervised learning strategies Boris Defourny, Damien Ernst and Louis Wehenkel Conference or Workshop Item (2009)
Bounds on marginal probability distributions Joris Mooij and Bert Kappen Article (2009)
CALIBRATE and CAS/DGS resources Vladimir Batagelj, Iztok Kavkler and Matija Lokar Article Item not available online. (2009)
Caveats on Bayesian Derivations of NML Probabilities: A Comment on Karabatsos and Walker (2006) Peter Grünwald and Daniel Navarro Article Item not available online. (2009)
Center-surround patterns emerge as optimal predictors for human saccade targets W. Kienzle, M.O. Franz, B. Schölkopf and F.A. Wichmann Article (2009)
Characteristic Kernels on Groups and Semigroups K. Fukumizu, B.K. Sriperumbudur, A. Gretton and B. Schölkopf Conference or Workshop Item (2009)
Characteristic Polynomial Analysis on Matrix Representations of Graphs Peng Ren and Edwin Hancock Conference or Workshop Item Item not available online. (2009)
Chinese postman problem with priority nodes. Tomaž Kramberger, Gregor Štrubelj and Janez Žerovnik Article Item not available online. (2009)
Chromatic PAC-Bayes Bounds for Non-IID Data Liva Ralaivola, Marie Szafranski and Guillaume Stempfel Conference or Workshop Item Item availablity restricted. (2009)
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob, Francis Bach and Jean-Philippe Vert Book Section Item not available online. (2009)
Clustering stability: an overview Ulrike v. Luxburg Article Item not available online. (2009)
Clustering: Science or Art? Isabelle Guyon, Robert Williamson and Ulrike v. Luxburg Conference or Workshop Item Item not available online. (2009)
Clusters and Coarse Partitions in LP Relaxations David Sontag, Amir Globerson and Tommi Jaakkola Article (2009)
Coding on countably infinite alphabets Stephane Boucheron, Elisabeth Gassiat and Aurelien Garivier Article (2009)
Coined quantum walks lift the cospectrality of graphs and trees David Emms, Simone Severini, Richard Wilson and Edwin Hancock Article Item not available online. (2009)
Combinatorial Bandits Nicolò Cesa-Bianchi and Gábor Lugosi Conference or Workshop Item (2009)
Comparison of Granger Causality and Phase Slope Index Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Poupescu and Klaus-Robert Müller Conference or Workshop Item (2009)
Compatible worlds Bruno Apolloni, Simone Bassis and Dario Malchiodi Article Item not available online. (2009)
Complete blind subspace deconvolution Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2009)
Complexity versus Agreement for Many Views Odalric-Ambrym Maillard and Nicolas Vayatis Book Section (2009)
Consistent Cycles in 1/2-Arc-Transitive Graphs Marko Boben, Štefko Miklavčič and Primož Potočnik Article Item not available online. (2009)
Constrained Markovian dynamics of random graphs Anthony (Ton) C C Coolen, Andrea De Martino and Alessia Annibale Article (2009)
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees Raphaël Marée, Pierre Geurts and Louis Wehenkel Article (2009)
Controlled complete ARMA independent process analysis Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)
Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (2009)
Correlated non-parametric latent feature models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)
Correlated Non-Parametric Latent Feature Models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)
Counting edge-transitive, one-ended, three-connected planar maps with a given growth rate Tomaž Pisanski Article Item not available online. (2009)
Covariate Shift by Kernel Mean Matching A. Gretton, A.J. Smola, J. Huang, M. Schmittfull, K.M. Borgwardt and B. Schölkopf Book Section Item not available online. (2009)
Credit Contagion and Credit Risk Jonathan P L Hattchett and Reimer Kuehn Article (2009)
CSM-SD: Methodology for contrast set mining through subgroup discovery Petra Kralj, Nada Lavrac and Antonija Krstacic Article Item not available online. (2009)
Dealing with non-metric dissimilarities in fuzzy central clustering algorithms Maurizio Filippone Article (2009)
Delaunay tessellation and topological regression: An application to estimating product properties Francesco Corona, Elia Liitiainen, Amaury Lendasse, Roberto Baratti and Lorenzo Sassu Book Section Item not available online. (2009)
Denoising photographs using dark frames optimized by quadratic programming M. Gomez Rodriguez, J. Kober and B. Schölkopf Conference or Workshop Item Item not available online. (2009)
Dependency detection with similarity constraints Leo Lahti, Samuel Myllykangas, Sakari Knuutila and Samuel Kaski Book Section Item not available online. (2009)
Dependent Dirichlet process spike sorting Jan Gasthaus, Frank Wood, Dilan Gorur and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)
Detecting the Direction of Causal Time Series Jonas Peters, Dominik Janzing, Arthur Gretton and Bernhard Schölkopf Article Item not available online. (2009)
Diffeomorphic Dimensionality Reduction C. Walder and B. Schölkopf Conference or Workshop Item (2009)
Different approaches to the tuning of the RCPSP algorithm RaR Janez Žerovnik and Igor Pesek Conference or Workshop Item Item not available online. (2009)
Discovering temporal patterns of differential gene expression in microarray time series Oliver Stegle, K Denby, S McHattie, S Meade, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item (2009)
Does Cognitive Science Need Kernels? F. Jäkel, B. Schölkopf and F.A. Wichmann Article (2009)
Domination Analysis in Combinatorial Optimization Gregory Gutin Book Section (2009)
Dynamic Policy Programming by Kullback-Leibler Divergence Minimization Mohammad Azar and Bert Kappen Conference or Workshop Item Item not available online. (2009)
Dynamical replica analysis of processes on finitely connected random graphs: II. Dynamics in the Griffiths phase of the diluted Ising ferromagnet Alexander Mozeika and Anthony (Ton) C C Coolen Article (2009)
Edge, vertex and mixed fault diameters. Janez Žerovnik, Iztok Banič and Rija Erveš Article Item not available online. (2009)
Edge-contributions of some topological indices and arboreality of molecular graphs. Tomaž Pisanski and Janez Žerovnik Article Item not available online. (2009)
Edge-contributions of some topological indices and arboreality of molecular graphs. Tomaž Pisanski and Janez Žerovnik Article Item not available online. (2009)
Effective resistance of random trees Louigi Addario-Berry, Nicolas Broutin and Gábor Lugosi Article Item not available online. (2009)
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance J. Hill, J. Farquhar, S.M.M. Martens, F. Biessmann and B. Schölkopf Conference or Workshop Item (2009)
Efficient discovery of interesting patterns based on strong closedness Mario Boley, Tamas Horvath and Stefan Wrobel Article Item not available online. (2009)
Efficient Discovery of Interesting Patterns Based on Strong Closedness Mario Boley, Tamas Horvath and Stefan Wrobel Conference or Workshop Item Item not available online. (2009)
Efficient Inclusion Checking for Deterministic Tree Automata and XML Schemas Rémi Gilleron, Joachim Niehren and Jérome Champavère Article (2009)
Enumeration of Condition-Dependent Dense Modules in Protein Interaction Networks Elisabeth Georgii, Sabine Dietmann, Takeaki Uno, Philip Pagel and Koji Tsuda Article Item not available online. (2009)
Estimating Facial Reflectance Properties using Shape-from-shading William Smith and Edwin Hancock Article Item not available online. (2009)
Evaluating multi-class learning strategies in a hierarchical framework for object detection Marko Boben, Sanja Fidler and Aleš Leonardis Conference or Workshop Item Item not available online. (2009)
Evaluation methods for topic models Hanna M Wallach, Iain Murray, Ruslan Salakhutdinov and David Mimno Article Item not available online. (2009)
Evolutionary Conservation of Orthoretroviral Long Terminal Repeats (LTRs) and ab initio Detection of Single LTRs in Genomic Data Farid Benachenhou, Patric Jern, Merja Oja, Göran Sperber, Panu Somervuo, Samuel Kaski and Jonas Blomberg Article Item not available online. (2009)
Experimental analysis of insertion costs in a naïve dynamic MDF-tree Luisa Mico and Jose Oncina Article (2009)
Experimental comparison of constructive heuristics for the canister filling problem. Gašper Žerovnik and Janez Žerovnik Conference or Workshop Item Item not available online. (2009)
Exploration-exploitation trade-off using variance estimates in multi-armed bandits Jean-Yves Audibert, Remi Munos and Csaba Szepesvari Article (2009)
Factored Sequence Kernels Nicola Cancedda and Pierre Mahe' Article Item availablity restricted. (2009)
Factorial mixture of gaussians and the marginal independence model Ricardo Silva and Zoubin Ghahramani Conference or Workshop Item (2009)
Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions D. Corfield, B. Schölkopf and V. Vapnik Article (2009)
Fast and optimal prediction on a labeled tree Nicolò Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item (2009)
Fast gradient-descent methods for temporal-difference learning with linear function approximation R. S. Sutton, H. R. Maei, D Precup, S Bhatnagar, D Silver, Csaba Szepesvari and E Wiewiora Conference or Workshop Item Item not available online. (2009)
Fast parallel estimation of high dimensional information theoretical quantities with low dimensional random projection ensembles Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)
Fast Rates for Regularized Objectives karthik Sridharan, Shai Shalev-Shwartz and Nathan Srebro Conference or Workshop Item (2009)
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering Francisco Escolano, Daniela Giorgi, Edwin Hancock, Miguel Lozano and Bianca Falcidieno Conference or Workshop Item Item not available online. (2009)
Fragment analysis of single-molecule conduction Tomaž Pisanski, Patrick W. Fowler, Barry T. Pickup and T. Z. Todorova Article Item not available online. (2009)
Frequent Partial Orders Antti Ukkonen Book Section Item not available online. (2009)
Function factorization using warped Gaussian processes Mikkel N. Schmidt Conference or Workshop Item Item not available online. (2009)
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article Item availablity restricted. (2009)
Gaussian processes and fast matrix-vector multiplies Iain Murray Conference or Workshop Item (2009)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy and Maneesh Sahani Book Section (2009)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy and Maneesh Sahani Article Item not available online. (2009)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity B.M. Yu, John Cunningham, G. Santhanam, A. Afshar, S.I. Ryu and K.V. Shenoy Conference or Workshop Item Item not available online. (2009)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity B.M. Yu, John Cunningham, G. Santhanam, A. Afshar, S.I. Ryu, Maneesh Sahani and K.V. Shenoy Article Item not available online. (2009)
gBoost: A mathematical programming approach to graph classification and regression Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo and Koji Tsuda Article (2009)
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes Kian Ming Chai Article (2009)
Generalized clustering via kernel embeddings Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Barath Sriperumbudur and Ulrike v. Luxburg Article Item not available online. (2009)
Generating functional analysis of complex formation and dissociation in large protein interaction networks Anthony (Ton) C C Coolen and Sabrina Rabello Article (2009)
Generating Functional Analysis of LDGM Channel Coding with Many Short Loops Kazushi Mimura and Anthony (Ton) C C Coolen Article (2009)
Geometric "floral" configurations Tomaž Pisanski, Leah Berman, Jürgen Bokowski and Branko Grünbaum Article Item not available online. (2009)
Geometric Characterizations of Graphs Using Heat Kernel Embeddings Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (2009)
Global alignment of protein-protein interaction networks by graph matching methods mikhail zaslavskiy, Francis Bach and Jean-Philippe Vert Article (2009)
Good Learners for Evil Teachers Ofer Dekel and Ohad Shamir Conference or Workshop Item (2009)
Graph characteristics from the heat kernel trace Bai Xiao, Richard Wilson and Edwin Hancock Article Item not available online. (2009)
GRAPH EMBEDDING USING A QUASI-QUANTUM ANALOGUE OF THE HITTING TIMES OF CONTINUOUS TIME QUANTUM WALKS David Emms, Richard Wilson and Edwin Hancock Article (2009)
Graph kernels based on tree patterns for molecules Pierre Mahé and Jean-Philippe Vert Article Item not available online. (2009)
Graph matching using the interference of continuous-time quantum walks David Emms, Richard Wilson and Edwin Hancock Article Item not available online. (2009)
Graph Regularisation Using Gaussian Curvature Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (2009)
Graph Visualization with Latent Variable Models Kristian Nybo, Juuso Parkkinen and Samuel Kaski Monograph Item not available online. (2009)
Graphical representation of proteins as four-color maps and their numerical characterization Tomaž Pisanski, Milan Randić, Ketij Mehulić, Damir Vukičević, Dražen Vikić Topić and Dejan Plavšić Article Item not available online. (2009)
Group Lasso with Overlaps and Graph Lasso laurent jacob, Guillaume Obozinski and Jean-Philippe Vert Book Section (2009)
Growth of edge-homogeneous tessellations Tomaž Pisanski, Stephen Graves and Mark E. Watkins Article Item not available online. (2009)
GSML: A unified framework for sparse metric learning Kaizhu Huang, Yiming Ying and Colin Campbell Conference or Workshop Item Item not available online. (2009)
Hamilton cycles and paths in vertex-transitive graphs - current directions Dragan Marušič and Klavdija Kutnar Article Item not available online. (2009)
Hamilton cycles in graph bundles over a cycle with tree as a fibre Tomaž Pisanski and Janez Žerovnik Article Item not available online. (2009)
Hamilton cycles in graph bundles over a cycle with tree as a fibre. Tomaž Pisanski and Janez Žerovnik Article Item not available online. (2009)
Hamiltonian cycles in cubic Cayley graphs : the (2, 4k, 3) case Dragan Marušič, Klavdija Kutnar and Henry Glover Article Item not available online. (2009)
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method David Windridge, Norman Poh, Vadim Mottl, Alexander Tatarchuk and Andrey Eliseyev Conference or Workshop Item Item not available online. (2009)
High-level feature extraction using SVM with walk-based graph kernel Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh and Yuji Uchiyama Book Section Item not available online. (2009)
How to optimize sample in active learning : Dispersion, an optimum criterion for classification ? Benoit Gandar, Gaelle Loosli and Guillaume Deffuant Article Item not available online. (2009)
Hybrid Stochastic-Adversarial On-line Learning Alessandro Lazaric and Rémi Munos Article (2009)
Hypergraphs, Characteristic Polynomials and the Ihara Zeta Function Peng Ren, Tatjana Aleksic, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2009)
Incorporating Prior Knowledge into a Transductive Ranking Algorithm for Multi-Document Summarization Massih Amini and Nicolas Usunier Conference or Workshop Item Item not available online. (2009)
Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration M. Hofmann, B. Schölkopf, I. Bezrukov and N.D. Cahill Conference or Workshop Item (2009)
Indian Buffet Processes with Power-law Behavior Yee Whye Teh and Dilan Gorur Conference or Workshop Item (2009)
Individual Sequence Prediction using Memory-efficient Context Trees Ofer Dekel, Shai Shalev-Shwartz and Yoram Singer Article (2009)
Infinite Hierarchical Hidden Markov Models Katherine Heller, Yee Whye Teh and Dilan Gorur Conference or Workshop Item Item not available online. (2009)
Influence of graph construction on graph-based clustering measures Markus Maiker, Ulrike v. Luxburg and Matthias Hein Conference or Workshop Item Item not available online. (2009)
Influence of heart rate on the BOLD signal: the cardiac response function C. Chang, John Cunningham and G.H. Glover Article Item not available online. (2009)
Interconnection networks for parallel molecular dynamics simulation based on hamiltonian cubic symmetric topology Dragan Marušič, Klavdija Kutnar, Urban Borštnik and Dušanka Janežič Article Item not available online. (2009)
Internal representation of the environment in cognitive robotics Cecilio Angulo, Ricardo A. Téllez and Diego E. Pardo Article Item not available online. (2009)
Joint Nonlinear Channel Equalization and Soft LDPC Decoding with Gaussian Processes Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Article (2009)
Kernel Methods for Detecting the Direction of Time Series J. Peters, D. Janzing, A. Gretton and B. Schölkopf Conference or Workshop Item (2009)
Kernel Methods in Medical Imaging G. Charpiat, M. Hofmann and B. Schölkopf Book Section Item not available online. (2009)
Kernel Multivariate Analysis in Remote Sensing Feature Extraction Jerónimo Arenas-Garcia and Kaare B. Petersen Book Section Item availablity restricted. (2009)
Kernel Polytope Faces Pursuit Tom Diethe and Zakria Hussain Article (2009)
Kubični zlepki z majhno prožnostno energijo Gašper Jaklic and Emil Žagar Article Item not available online. (2009)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (2009)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, Shakir Mohamed, David Knowles and Zoubin Ghahramani Conference or Workshop Item (2009)
Latent grouping models for user preference prediction Eerika Savia, Kai Puolamäki and Samuel Kaski Article Item not available online. (2009)
Learnability and Stability in the General Learning Setting Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro and Karthik Sridharan Conference or Workshop Item (2009)
Learnability and Stability in the General Learning Setting Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan and Nathan Srebro Conference or Workshop Item (2009)
Learning a Self-organizing Map Model on a Riemannian Manifold Dongjun Yu, Edwin Hancock and William Smith Conference or Workshop Item Item not available online. (2009)
Learning Class Specific Graph Prototypes Shengping Xia and Edwin Hancock Conference or Workshop Item Item not available online. (2009)
Learning from Multiple Partially Observed Views -- an Application to Multilingual Text Categorization Massih Amini, Nicolas Usunier and Cyril Goutte Conference or Workshop Item Item not available online. (2009)
Learning hierarchical compositional representations of object structure Marko Boben, Sanja Fidler and Aleš Leonardis Book Section Item availablity restricted. (2009)
Learning Machine Translation in High-Dimensional Spaces Zhuoran Wang Thesis Item not available online. (2009)
Learning unknown graphs Nicolò Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item Item not available online. (2009)
Learning unknown graphs Nicolò Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item (2009)
Learning When to Stop Thinking and Do Something B Póczos, Y Abbasi-Yadkori, Csaba Szepesvari, R Greiner and N Sturtevant Conference or Workshop Item (2009)
Linear classification and selective sampling under low noise conditions Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (2009)
Linear Combination of SOMs for Data Imputation: Application to Financial Problems Antti Sorjamaa, Francesco Corona, Amaury Lendasse, Yoan Miche and Eric Severin Conference or Workshop Item Item availablity restricted. (2009)
Linearly constrained Bayesian matrix factorization for blind source separation Mikkel N. Schmidt Conference or Workshop Item Item not available online. (2009)
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda Conference or Workshop Item (2009)
Long-Term Prediction of Time Series by combining Direct and MIMO Strategies Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2009)
Machine Learning Journal special issue on Mining and Learning with Graphs Thomas Gaertner and Gemma Garriga Other Item not available online. (2009)
Markerless 3D Face Tracking C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio Conference or Workshop Item (2009)
Mind the duality gap: Logarithmic regret algorithms for online optimization Sham Kakade and Shai Shalev-Shwartz Conference or Workshop Item (2009)
Mining Local Correlation Patterns in Sets of Sequences Antti Ukkonen Conference or Workshop Item Item not available online. (2009)
Modeling the surfactant uptake in cross-linked DNA gels. Diana Costa, Martin Reischl, Bojan Kuzma, Milan Brumen, Janez Žerovnik, Volker Ribitsch, Maria da Graca Miguel and Bjorn Lindman Article Item not available online. (2009)
Monodromy groups and self-invariance Alen Orbanic, Isabel Hubard and Asia Ivić Weiss Article Item not available online. (2009)
Monte Carlo maximum likelihood estimation for discretely observed diffusion processes Omiros Papaspiliopoulos, Gareth Roberts and Alex Beskos Article Item not available online. (2009)
Multi-layer Boosting for Pattern Recognition Francois Fleuret Article Item not available online. (2009)
Multi-task Gaussian Process Learning of Robot Inverse Dynamics Kian Ming Chai, Christopher Williams, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (2009)
Multi-Way, Multi-View Learning Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic and Samuel Kaski Conference or Workshop Item Item not available online. (2009)
Multiple Hypothesis Testing in Pattern Discovery Sami Hanhijärvi, Kai Puolamäki and Gemma Garriga Monograph (2009)
Multiple Indefinite Kernel Learning with Mixed Norm Regularization Matthieu Kowalski, Marie Szafranski and Liva Ralaivola Conference or Workshop Item (2009)
Multiple Object Tracking using Flow Linear Programming Jerome Berclaz, Francois Fleuret and Pascal Fua Monograph Item not available online. (2009)
Multiplication of networks in kinship analysis Vladimir Batagelj and Andrej Mrvar Conference or Workshop Item Item not available online. (2009)
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Sébastien Bubeck and Ulrike v. Luxburg Article (2009)
Nearest Neighbor Clustering: a baseline method for consistent cluteirng with arbitrary objective functions Bubeck Sebastien and Ulrike v. Luxburg Article (2009)
Nonlinear causal discovery with additive noise models P.O. Hoyer, D. Janzing, J.M. Mooij, J. Peters and B. Schölkopf Conference or Workshop Item (2009)
Nonlinear causal discovery with additive noise models Patrik Hoyer, Dominik Janzing, Joris Mooij, Jonas Peters and Bernhard Schölkopf Article (2009)
Nonparametric estimation of composite functions A. Juditsky, O. Lepski and A. Tsybakov Article Item not available online. (2009)
Numerical characterizations of DNA sequences based on the graphical representations Janez Žerovnik and Igor Pesek Conference or Workshop Item Item not available online. (2009)
Occlusive components analysis J Lücke, Richard Turner, Maneesh Sahani and M Henniges Book Section (2009)
On certain graph theory application Dragan Marušič and Klavdija Kutnar Book Section Item not available online. (2009)
On concentration of self-bounding functions Stephane Boucheron, Gábor Lugosi and Pascal Massart Article Item not available online. (2009)
On constructing threshold networks for pattern classification Martin Anthony Book Section Item not available online. (2009)
On decompositions of leapfrog fullerenes Dragan Marušič, Klavdija Kutnar and Damir Vukičević Article Item not available online. (2009)
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi and Koji Tsuda Conference or Workshop Item (2009)
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On spectral numerical characterizations of DNA sequences based on Hamori curve representation Janez Žerovnik and Igor Pesek Conference or Workshop Item Item not available online. (2009)
On Structured Output Training: Hard Cases and an Efficient Alternative Thomas Gaertner and Shankar Vembu Article Item not available online. (2009)
On Subgroup Discovery in Numerical Domains Henrik Grosskreutz and Stefan Rüping Article Item not available online. (2009)
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On the Complexity of Constraint-Based Theory Extraction Mario Boley and Thomas Gaertner Conference or Workshop Item Item not available online. (2009)
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On Verifiable Sufficient Conditions for Sparse Signal Recovery via l_1 Minimization A. Juditsky and A. Nemirovski Article (2009)
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Online blind deconvolution for Astronomy S. Harmeling, M. Hirsch, S. Sra and B. Schölkopf Conference or Workshop Item Item not available online. (2009)
Online dictionary learning for sparse coding. Julien Mairal, Francis Bach, Guillermo Sapiro and Jean Ponce Conference or Workshop Item Item not available online. (2009)
Online multi-task learning with hard constraints Gábor Lugosi, Omiros Papaspiliopoulos and Gilles Stoltz Conference or Workshop Item Item not available online. (2009)
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Predictive models for music Jean-Francois Paiement, Yves Grandvalet and Samy Bengio Article Item not available online. (2009)
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Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays Leo Lahti, Laura L. Elo, Tero Aittokallio and Samuel Kaski Article Item not available online. (2009)
Probabilistic models for incomplete multi-dimensional arrays Wei Chu and Zoubin Ghahramani Conference or Workshop Item (2009)
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Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Book Item not available online. (2009)
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Reconstruction of biological networks by supervised machine learning approaches Jean-Philippe Vert Book Section Item not available online. (2009)
Regularized fitted q-iteration for planning in continuous-space markovian decision problems A. m. Farahmand, M. Ghavamzadeh, Csaba Szepesvari and S. Mannor Conference or Workshop Item Item not available online. (2009)
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Residual Variance Estimation in Machine Learning Elia Liitiäinen, Michel Verleysen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (2009)
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Statistical Learning Theory: Models, Concepts and Results Bernhard Schölkopf and Ulrike v. Luxburg Book Section Item not available online. (2009)
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Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities Ryan Adams, Iain Murray and David MacKay Article Item not available online. (2009)
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Growth optimal portfolio selection strategies with transaction costs Laszlo Gyorfi and István Vajda Book Section Item availablity restricted. (02 October 2008)
Nonparametric independence tests: space partitioning and kernel approaches Arthur Gretton and Laszlo Gyorfi Book Section (02 October 2008)
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Modeling of mutual dependencies Arto Klami Thesis Item not available online. (05 September 2008)
Modeling of mutual dependencies Arto Klami Thesis Item not available online. (05 September 2008)
Latent grouping models for user preference prediction Eerika Savia, Kai Puolamäki and Samuel Kaski Article Item not available online. (03 September 2008)
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Selective Breeding Analysed as a Communication Channel Chris Watkins Conference or Workshop Item Item availablity restricted. (September 2008)
Structured Prediction with Reinforcement Learning francis maes, Ludovic Denoyer and Patrick Gallinari Article (September 2008)
Mining adaptively frequent closed unlabeled rooted trees in data streams Albert Bifet and Ricard Gavaldà Conference or Workshop Item Item availablity restricted. (27 August 2008)
Efficient tracking of the best of many experts Andras Gyorgy, Tamas Linder and Gábor Lugosi Conference or Workshop Item Item not available online. (26 August 2008)
Recent Advances in Computing the NML for Discrete Bayesian Networks Petri Myllymäki Conference or Workshop Item (18 August 2008)
Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard -- Morpho Challenge 2008 Mikko Kurimo and Matti Varjokallio Conference or Workshop Item (15 August 2008)
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Bayesian Reinforcement Learning with Gaussian Process Temporal Difference Methods Yaki Engel, Shie Mannor and Ron Meir Monograph Item availablity restricted. (August 2008)
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Learning Balls of Strings from Edit Corrections Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet and Frédéric Tantini Article Item availablity restricted. (August 2008)
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Digital Communication Receivers Using Gaussian Processes for Machine Learning fernando Perez-Cruz and J. J. Murillo-Fuentes Article (July 2008)
Error Bounds for Approximations from Projected Linear Equations Huizhen Yu and Dimitri Bertsekas Article Item not available online. (July 2008)
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Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item Item availablity restricted. (29 June 2008)
Analysis of Optimistic Algorithms for the Exploration/Exploitation Trade-Off Peter Auer Conference or Workshop Item (18 June 2008)
Inference and Estimation in Probabilistic Time-Series Models David Barber and Silvia Chiappa Book (18 June 2008)
Low cost estimation of $\sigma$ for SVM using local features Vanessa Gomez-Verdejo, Miguel Lazaro-Gredilla and Emilio Parrado-Hernandez Monograph (08 June 2008)
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Bayes optimal classification for decision trees Siegfried Nijssen Conference or Workshop Item Item not available online. (05 June 2008)
Accounting for non-genetic factors improves the power of eQTL studies Oliver Stegle, Anitha Kannan, Richard Durbin and John M. Winn Conference or Workshop Item (June 2008)
Algorithms for infinitely many-armed bandits Yizao Wang, Jean-Yves Audibert and Rémi Munos Conference or Workshop Item Item not available online. (June 2008)
Approximate Dynamic Programming with Gaussian Processes Marc Deisenroth, Jan Peters and Carl Edward Rasmussen Conference or Workshop Item (June 2008)
Clustering of population pyramids Vladimir Batagelj, Nataša Kejžar and Simona Korenjak-Černe Article Item not available online. (June 2008)
Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Article Item not available online. (June 2008)
Estimation of Differential Equations via Nonparametric Methods: Applications in Systems Biology Nicolas J-B. Brunel and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (June 2008)
Margin-based discriminant dimensionality reduction for visual recognition Hakan Cevikalp, William Triggs, Frederic Jurie and Robi Polikar Conference or Workshop Item (June 2008)
Maximal causes for non-linear component extraction. Jörg Lücke and Maneesh Sahani Article Item not available online. (June 2008)
On the use of different loss functions in statistical pattern recognition applied to machine translation Jesús Andrés, Daniel Ortiz, Ismael García and Francisco Casacuberta Article Item not available online. (June 2008)
Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin and Tapani Raiko Monograph (June 2008)
Ranking Categorical Features Using Generalization Properties Sivan Sabato and Shai Shalev-Shwartz Article (June 2008)
Tailoring Density Estimation via Reproducing Kernel Moment Matching Le Song, Xinhua Zhang, Alex Smola, Arthur Gretton and Bernhard Schölkopf Conference or Workshop Item (June 2008)
10e Conférence d'Apprentissage Book Item not available online. (29 May 2008)
Solving the data association problem in multi-object tracking by Fourier analysis on the symmetric group Risi Kondor Conference or Workshop Item Item not available online. (28 May 2008)
Variational inference and learning for continuous-time nonlinear state-space models Antti Honkela, Markus Harva, Tapani Raiko and Juha Karhunen Conference or Workshop Item (27 May 2008)
Learning mixture models - courseware for finite mixture distributions of multivariate Bernoulli distributions Jaakko Hollmen and Tapani Raiko Conference or Workshop Item (07 May 2008)
Understanding and Improving Belief Propagation Joris Mooij Thesis (07 May 2008)
Macadamia: Master's Programme in Machine Learning and Data Mining Tapani Raiko, Kai Puolamäki, Juha Karhunen, Jaakko Hollmen, Anttí Honkela, Samuel Kaski, Heikki Mannila, Erkki Oja and Olli Simula Conference or Workshop Item (06 May 2008)
Machine Learning in Secondary Education? Ricard Gavaldà Conference or Workshop Item Item availablity restricted. (06 May 2008)
Inferring Sparse Kernel Combinations and Relevance Vectors: An application to subcellular localization of proteins Theodoros Damoulas, Yiming Ying, Mark Girolami and Colin Campbell Conference or Workshop Item (01 May 2008)
On the Uncertainty in Sequential Hypothesis Testing R Santiago-Mozos, R. Fernandez-Lorenzana, Fernando Perez-Cruz and A Artes-Rodriguez Conference or Workshop Item (May 2008)
A point of view on teaching Pattern Recognition Luisa Mico Conference or Workshop Item Item not available online. (May 2008)
Comments on: "Augmenting the Bootstrap to Analyze High-Dimensional Genomic Data" Anne-Laure Boulesteix, Athanassios Kondylis and Nicole Krämer Article Item not available online. (May 2008)
Multi-Classification by Categorical Features via Clustering. Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (May 2008)
On Agnostic Boosting and Parity Learning Adam Kalai, Yishay Mansour and Elad Verbin Conference or Workshop Item (May 2008)
Linear projection based on noise variance estimation: Application to spectral data Amaury Lendasse and Francesco Corona Conference or Workshop Item Item availablity restricted. (24 April 2008)
Selection of important input variables for RBF networks using partial serivatives Jarkko Tikka and Jaakko Hollmen Book Section (23 April 2008)
The Metric Nearness Problem J Brickell, I.S. Dhillon, Suvrit Sra and J Tropp Article Item not available online. (23 April 2008)
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Information Consistency of Nonparametric Gaussian Process Methods matthias seeger, Sham Kakade and Dean P. Foster Article Item not available online. (April 2008)
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path András Antos, Csaba Szepesvari and Rémi Munos Article Item availablity restricted. (April 2008)
Model-based Reinforcement Learning with Continuous States and Actions Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Conference or Workshop Item (April 2008)
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Tracking the Best Quantizer Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item availablity restricted. (April 2008)
The fault-diameter of Cartesian products Janez Žerovnik and Iztok Banič Article Item not available online. (March 2008)
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Agglomerative independent variable group analysis Antti Honkela, Jeremias Seppä and Esa Alhoniemi Article Item availablity restricted. (March 2008)
Learning iteratively a classifier with the Bayesian Model Averaging Principlestar Rudy Sicard, Thierry Artières and Eric Petit Article Item not available online. (March 2008)
Modelling sequences using pairwise relational features rudy sicard and thierry artières Article Item not available online. (March 2008)
Support Vector Machines for Interval Discriminant Analysis Cecilio Angulo, Davide Anguita, Luis Gonzalez-Abril and Juan Antonio Ortega Article Item not available online. (March 2008)
A Formal Context for Symmetric Dependencies Jaume Baixeries Conference or Workshop Item Item availablity restricted. (16 February 2008)
Letting Stones Go Unturned Peter Bentley Article (06 February 2008)
A Marginalized Variational Bayesian Approach to the Analysis of Array Data Yiming Ying, Li Peng and Colin Campbell Conference or Workshop Item (01 February 2008)
A Formal Context for Symmetric Dependencies Jaume Baixeries Article Item availablity restricted. (February 2008)
Cost-minimising strategies for data labelling: Optimal stopping and active learning Christos Dimitrakakis and Christian Savu-Krohn Conference or Workshop Item (February 2008)
Empirical Bernstein stopping Volodymyr Mnih, Csaba Szepesvari and Jean-Yves Audibert Conference or Workshop Item Item not available online. (February 2008)
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Self-consistent multiple testing procedures Gilles Blanchard and Étienne Roquain Article Item availablity restricted. (February 2008)
Mining Implications from Lattices of Closed Trees José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (29 January 2008)
A som-based approach to estimating product properties from spectroscopic measurements Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu and Roberto Baratti Article Item not available online. (19 January 2008)
Practical Feature Selection: from Correlation to Causality Isabelle Guyon Book Section (16 January 2008)
Transcript Normalization and Segmentation of Tiling Array Data Georg Zeller, Stefan Henz, Sascha Laubinger, Detlef Weigel and Gunnar Raetsch Conference or Workshop Item Item not available online. (04 January 2008)
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Competitive Queue Management for Latency Sensitive Packets Amos Fiat, Yishay Mansour and Uri Nadav Conference or Workshop Item (January 2008)
Exploration-exploitation tradeoff using variance estimates in multi-armed bandits Jean-Yves Audibert, Rémi Munos and Csaba Szepesvari Article Item not available online. (January 2008)
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Induction as a Search Stasinos Konstantopoulos, Rui Camacho, Nuno Fonseca and Vitor Santos Costa Book Section Item not available online. (January 2008)
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Modelling motion primitives and their timing in biologically executed movements Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2008)
Optimisation du Primal pour les SVM Trinh-Minh-Tri Do and Thierry Artières Conference or Workshop Item Item not available online. (January 2008)
Rule extraction based on support and prototype vectors Haydemar Núñez, Cecilio Angulo and Andreu Català Book Section Item not available online. (January 2008)
Towards More Secure Systems: How to Combine Expert Evaluations Marco Benini and Sabrina Sicari Conference or Workshop Item Item not available online. (2008)
Approximate inference methods for genetic linkage analysis Kees Albers Thesis Item not available online. (2008)
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An Algorithm for Transfer Learning in a Heterogeneous Environment Andreas Argyriou, Andreas Maurer and Massimiliano Pontil Conference or Workshop Item Item not available online. (2008)
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An Analysis of Inference with the Universum F.H. Sinz, O. Chapelle, A. Agarwal and B. Schölkopf Book Section (2008)
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Analysis of Kinship Relations with Pajek Vladimir Batagelj and Andrej Mrvar Article Item not available online. (2008)
Analysis of kinship relations with Pajek Vladimir Batagelj and Andrej Mrvar Article Item not available online. (2008)
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Applications of Reinforcement Learning to Structured Prediction francis maes, Ludovic Denoyer and Patrick Gallinari Book (2008)
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Assessing the risk to intercept VoIP calls Marco Benini and Sabrina Sicari Article Item not available online. (2008)
At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana S. Laubinger, G. Zeller, S.R. Henz, T. Sachsenberg, C.K. Widmer, N. Naouar, M. Vuylsteke, B. Schölkopf, G. Rätsch and D. Weigel Article (2008)
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Automatic Image Colorization Via Multimodal Predictions G. Charpiat, M. Hofmann and B. Schölkopf Book Section (2008)
Banded structure in binary matrices Gemma Garriga, Esa Junttila and Heikki Mannila Conference or Workshop Item (2008)
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Bayesian Biclustering with the Plaid Model José Caldas and Samuel Kaski Book Section Item not available online. (2008)
Bayesian inference for motion control and planning Marc Toussaint Monograph (2008)
Bayesian Nonparametric Hidden Markov Models with application to the analysis of copy-number-variation in mammalian genomes Omiros Papaspiliopoulos, Chris Yau, Gareth Roberts and Chris Holmes Article Item not available online. (2008)
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Bolasso: model consistent Lasso estimation through the bootstrap. Francis Bach Conference or Workshop Item (2008)
Bounds on the power-weighted mean nearest neighbor distance Elia Liitiäinen, Amaury Lendasse and Francesco Corona Article Item availablity restricted. (2008)
Catching up Faster in Bayesian Model Selection and Model Averaging Tim Erven, van, Peter Grünwald and Steven De Rooij Conference or Workshop Item (2008)
Caterpillar duality for constraint satisfaction problems Victor Dalmau and Andrei Krokhin Conference or Workshop Item Item not available online. (2008)
Causal graphical models with latent variables : learning and inference Philippe Leray, Stijn Meganck, Sam Maes and Bernard Manderick Book Section Item not available online. (2008)
Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods X. Sun, D. Janzing and B. Schölkopf Article (2008)
Change-point estimation from indirect observations. 1. Minimax complexity A. Goldenshluger, A. Juditsky, A. Tsybakov and A. Zeevi Article Item not available online. (2008)
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Circular chromatic number of triangle-free hexagonal graphs Janez Žerovnik and Petra Šparl Article Item not available online. (2008)
Classification of 2-arc-transitive dihedrants Dragan Marušič, Aleksander Malnič and Shao Fei Du Article Item not available online. (2008)
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Closed Sets for Labeled Data Gemma Garriga, Petra Kralj and Nada Lavrac Article Item not available online. (2008)
Collapsed Variational Inference for HDP Yee Whye Teh, Kenichi Kurihara and Max Welling Conference or Workshop Item Item not available online. (2008)
Compressing probabilistic Prolog programs Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo and Hannu Toivonen Article Item availablity restricted. (2008)
Computer aided support systems in the E-um project Igor Pesek, Blaž Zmazek and Katja Prnaver Conference or Workshop Item Item not available online. (2008)
Concave paths in graphs and networks Boris Horvat, Tomaž Pisanski and Primož Lukšic Conference or Workshop Item Item not available online. (2008)
Consistency of random forests and other averaging classifiers Gérard Biau, Luc Devroye and Gábor Lugosi Article Item not available online. (2008)
Consistent Minimization of Clustering Objective Functions Ulrike v. Luxburg, Sebastien Bubeck, Stefanie Jegelka and Michael Kaufmann Conference or Workshop Item Item not available online. (2008)
Consistent Nonparametric Tests of Independence Arthur Gretton and Laszlo Gyorfi Article Item not available online. (2008)
Constructions for chiral polytopes Tomaž Pisanski, Marston D. E. Conder and Isabel Hubard Article Item not available online. (2008)
Contour-Propagation Algorithms for Semi-Automated Reconstruction of Neural Processes J.H. Macke, N. Maack, R. Gupta, W. Denk, B. Schölkopf and A. Borst Article Item availablity restricted. (2008)
Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes J.H. Macke, M. Maack, R. Gupta, W. Denk, B. Schölkopf and A. Borst Article (2008)
Cooled and Relaxed Survey Propagation for MRFs Hai Leong Chieu, Wee Sun Lee and Yee Whye Teh Conference or Workshop Item Item not available online. (2008)
Coordinating concurrent transmissions: a constant-factor approximation of maximum-weight independent set in local conflict graphs Petteri Kaski, Aleksi Penttinen and Jukka Suomela Article Item availablity restricted. (2008)
Customizing kernel functions for SVM-based hyperspectral image classification B. Guo, Steve Gunn, Bob Damper and J. D. B. Nelson Article Item not available online. (2008)
Developing chemometrics with the tools of information sciences (CHESS) – MASIT23 Olli Simula, Francesco Corona, Amaury Lendasse, Marja-Liisa Riekkola, Kari Hartonen, Pentti Minkkinen, Satu-Pia Reinikainen, Jarno Kohonen, Ilppo Vuorinen, Jari Hänninen and Jukka Silén Conference or Workshop Item Item availablity restricted. (2008)
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping Richard S. Sutton, Csaba Szepesvari, Alborz Geramiford and Michael Bowling Conference or Workshop Item (2008)
Dynamical replica analysis of processes on finitely connected random graphs: I. Vertex covering Alexander Mozeika and Anthony Coolen Article (2008)
Edge fault-diameter of Cartesian graph bundles Janez Žerovnik, Iztok Banič and Rija Erveš Conference or Workshop Item Item not available online. (2008)
Efficient Bayesian Methods for Clustering Katherine Heller Thesis (2008)
Efficient peptide-MHC-I binding prediction for alleles with few known binders Laurent Jacob and Jean-Philippe Vert Article Item not available online. (2008)
Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares. Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Article Item not available online. (2008)
Efficient, incremental coverage of space with a continuous curve Subramanian Ramamoorthy, Ram Rajagopal and Lothar Wenzel Article Item not available online. (2008)
Eliciting Consumer Preferences using Robust Adaptive Choice Questionnaires Jacob Abernethy, Theodoros Evgeniou, Olivier Toubia and Jean-Philippe Vert Article Item not available online. (2008)
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Entropy concentration and the empirical coding game Peter Grünwald Article (2008)
ESTSP 2008: Proceedings Book Item availablity restricted. (2008)
Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling G. Wisniewski and Patrick Gallinari Conference or Workshop Item (2008)
Exploratory social network analysis with Pajek Vladimir Batagelj, Andrej Mrvar and Wouter de Nooy Book Item not available online. (2008)
Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics William Smith and Edwin Hancock Article Item not available online. (2008)
Feature Selection in Taxonomies with Applications to Paleontology. Gemma Garriga, Antti Ukkonen and Heikki Mannila Conference or Workshop Item (2008)
Finding reliable subgraphs from large probabilistic graphs Petteri Hintsanen and Hannu Toivonen Article Item availablity restricted. (2008)
Finite dimensional projection for classification and statistical learning Gilles Blanchard and Laurent Zwald Article (2008)
Finite time bounds for fitted value iteration R Munos and Csaba Szepesvari Article (2008)
Fitted Q-iteration in continuous action-space MDPs András Antos, Rémi Munos and Csaba Szepesvari Book Section Item availablity restricted. (2008)
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Frequent Subgraph Retrieval in Geometric Graph Databases Sebastian Nowozin and Koji Tsuda Conference or Workshop Item (2008)
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Fuzzy Inference Based Autoregressors for Time Series Prediction Using Nonparametric Residual Variance Estimation Federico Montesino Pouzols, Amaury Lendasse and Angel Barriga Barros Conference or Workshop Item Item availablity restricted. (2008)
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Gender dependent progression of systemic metabolic states in early childhood Janne Nikkilä, Marko Sysi-Aho, Andrey Ermolov, Tuulikki Seppänen-Laakso, Olli Simell, Samuel Kaski and Matej Oresic Article Item not available online. (2008)
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Graph Characteristic from the Gauss-Bonnet Theorem Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (2008)
Graph Characteristics from the Ihara Zeta Function Peng Ren, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2008)
Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks David Emms, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2008)
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Graph spectral image smoothing using the heat kernel Fan Zhang and Edwin Hancock Article Item not available online. (2008)
Graphical model inference in optimal control of stochastic multi-agent systems. Bart Broek, Wim Wiegerinck and Bert Kappen Article (2008)
Greedy Like Algorithms for the Traveling Salesman and Multidimensional Assignment Problems Gregory Gutin and D. Karapetyan Book Section (2008)
Growth in [n]helicenes Primož Lukšic and Tomaž Pisanski Article Item not available online. (2008)
Hamiltonicity of vertex-transitive graphs of order 4p Dragan Marušič and Klavdija Kutnar Article Item not available online. (2008)
Hierarchical POMDP Controller Optimization by Likelihood Maximization M Toussaint, L Charlin and P Poupart Conference or Workshop Item (2008)
How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars Anton Schwaighofer, Timon Schroeter, Sebastian Mika and Gilles Blanchard Article (2008)
Hybrid variational / gibbs collapsed inference in topic models. M. Welling, Y Teh and Bert Kappen Conference or Workshop Item Item not available online. (2008)
Hybrid Variational/Gibbs Inference in Topic Models Max Welling, Yee Whye Teh and Bert Kappen Conference or Workshop Item Item not available online. (2008)
Inferring neural firing rates from spike trains using Gaussian processes. John P Cunningham, Byron M Yu, Krishna V Shenoy and Maneesh Sahani Book Section (2008)
Infinite mixtures for multi-relational categorical data Janne Sinkkonen, Janne Aukia and Samuel Kaski Conference or Workshop Item (2008)
Injective Hilbert Space Embeddings of Probability Measures B.K. Sriperumbudur, A. Gretton, K. Fukumizu, G. Lanckriet and B. Schölkopf Book Section (2008)
Interpolating support information granules Bruno Apolloni, Simone Bassis, Dario Malchiodi and Witold Pedrycz Article Item not available online. (2008)
Isotree: Tree clustering via metric embedding Xiao Bai, Andrea Torsello and Edwin Hancock Article Item not available online. (2008)
Iterative Subgraph Mining for Principal Component Analysis Hiroto Saigo and Koji Tsuda Conference or Workshop Item (2008)
Kernel Based Text-Independent Speaker Verification Johnny Mariéthoz, Samy Bengio and Yves Grandvalet Book Section Item not available online. (2008)
Kernel Measures of Conditional Dependence K. Fukumizu, A. Gretton, X. Sun and B. Schölkopf Book Section (2008)
Kernel Methods for Smart Antennas Angel Navia-Vazquez, M. Martínez-Ramón, R. Jordan and C.G. Christodoulou Book Section Item availablity restricted. (2008)
Kernel Methods in Machine Learning T. Hofmann, B. Schölkopf and A.J. Smola Article (2008)
Kernels, Regularization and Differential Equations F. Steinke and B. Schölkopf Article Item not available online. (2008)
Kolmogorov complexity theory over the reals Wouter M. Koolen and Martin Ziegler Article Item not available online. (2008)
Large Margin vs. Large Volume in Transductive Learning Ran El-Yaniv, Dmitry Pechyony and Vladimir Vapnik Article (2008)
Learning by mirror averaging A. Juditsky, Ph. Rigollet and A. Tsybakov Article Item not available online. (2008)
Learning by mirror averaging A. Juditsky, Ph. Rigollet and A. Tsybakov Article Item not available online. (2008)
Learning coordinate gradients with multi-task kernels Yiming Ying and Colin Campbell Article (2008)
Learning Inverse Dynamics: A Comparison D. Nguyen-Tuong, J. Peters, M. Seeger and B. Schölkopf Book Section (2008)
Learning Potential-based Policies from Constrained Motion Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar Conference or Workshop Item Item availablity restricted. (2008)
Learning to Classify with Missing and Corrupted Features Ohad Shamir and Ofer Dekel Conference or Workshop Item (2008)
Learning topology of a labeled data set with the supervised generative Gaussian graph Pierre Gaillard, Michael Aupetit and Gérard Govaert Article Item not available online. (2008)
Linear algorithms for online multitask classification Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (2008)
Linear algorithms for online multitask classification Giovanni Cavallanti, Nicolo' Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (2008)
Linear algorithms for online multitask classification. Giovanni Cavallanti, Nicolo' Cesa-Bianchi and Claudio Gentile Article (2008)
Linear classification and selective sampling under low noise conditions Giovanni Cavallanti, Nicolo' Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (2008)
Linear classification and selective sampling under low noise conditions. Giovanni Cavallanti, Nicolo' Cesa-Bianchi and Claudio Gentile Article Item not available online. (2008)
Local tail bounds for functions of independent random variables Luc Devroye and Gábor Lugosi Article Item not available online. (2008)
Long-Term Prediction of Time Series using NNE-based Projection and OP-ELM Antti Sorjamaa, Yoan Miche, Robert Weiss and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2008)
Macadamia: Master's programme in machine learning and data mining Tapani Raiko, Kai Puolamäki, Juha Karhunen, Jaakko Hollmen, Antti Honkela, Heikki Mannila, Erkki Oja and Olli Simula Article (2008)
Machine learning for in silico virtual screening and chemical genomics: new strategies Laurent Jacob and Jean-Philippe Vert Article Item not available online. (2008)
Mal'tsev + Datalog --> Symmetric Datalog Victor Dalmau and Benoit Larose Conference or Workshop Item Item not available online. (2008)
Manifold-valued Thin-plate Splines with Applications in Computer Graphics F. Steinke, M. Hein, J. Peters and B. Schölkopf Article (2008)
Memory Reduction Methodology for Distributed Arithmetic Based DWT/ IDWT. A. Acharyya, K. Maharatna, B. Al-Hashimi and Steve Gunn Article Item not available online. (2008)
Microscopic Evolution of Social Networks Jure Leskovec, Lars Backstrom, Ravi Kumar and Andrew Tomkins Conference or Workshop Item Item not available online. (2008)
Microscopic Evolution of Social Networks Jure Leskovec, Lars Backstrom, Ravi Kumar and Andrew Tomkins Article Item not available online. (2008)
Minimizing the Delta Test for Variable Selection in Regression Problems Alberto Guillen, Dusan Sovilj, Fernando Mateo, Ignacio Rojas and Amaury Lendasse Article Item not available online. (2008)
Mobile Call Graphs: Beyond Power-Law and Lognormal Distributions Seshadri Mukund, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos and Jure Leskovec Conference or Workshop Item Item not available online. (2008)
Model Based Clustering using multilocus data with loci selection Elisabeth Gassiat and Wilson Toussile Article (2008)
Model Selection and Stability in k-means Clustering Ohad Shamir and Naftali Tishby Conference or Workshop Item (2008)
Modeling natural sounds with modulation cascade processes. Richard Turner and Maneesh Sahani Book Section (2008)
Monitoring Network Evolution using MDL. Jure Ferlez, Christos Faloutsos, Jure Leskovec, Dunja Mladenić and Marko Grobelnik Conference or Workshop Item Item not available online. (2008)
MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration M. Hofmann, F. Steinke, V. Scheel, G. Charpiat, J. Farquhar, P. Aschoff, M. Brady, B. Schölkopf and B.J. Pichler Article Item not available online. (2008)
Multiple Kronecker covering graphs Tomaž Pisanski and Wilfried Imrich Article Item not available online. (2008)
Multipoint approximations of identity-by-descent probabilities for accurate linkage analysis of distantly-related individuals Kees Albers, J. Stankovich, T. Thomson, M. Bahlo and Bert Kappen Article Item not available online. (2008)
Named Entity Recognition by Neural Sliding Window Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo and Nicola Lamberti Conference or Workshop Item (2008)
Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item (2008)
Network analysis of repositories Vladimir Batagelj, Iztok Kavkler and Matija Lokar Conference or Workshop Item Item not available online. (2008)
New methodologies based on delta test for variable selection in regression problems Alberto Guillén, Dusan Sovilj, Fernando Mateo, Fernando Mateo and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2008)
NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks Petri Kontkanen, Hannes Wettig and Petri Myllymäki Article (2008)
Non-negative matrix factorization with Gaussian process priors Mikkel N. Schmidt and Hans Laurberg Article Item not available online. (2008)
Nonlinear temporal and spatial forecasting: modelling and uncertainty analysis (NoTeS) – MASIT20 Risto Ritala, Esa Alhoniemi, Tuomo Kauranne, Kimmo Konkarikoski, Amaury Lendasse and Miki Sirola Conference or Workshop Item Item availablity restricted. (2008)
Nonparametric Estimation by Convex Programming A. Juditsky and A. Nemirovski Article Item not available online. (2008)
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches. A Gretton and L Gyorfi Conference or Workshop Item Item not available online. (2008)
On 2-fold covers of graphs Dragan Marušič, Aleksander Malnič, Klavdija Kutnar and Yan-Quan Feng Article Item not available online. (2008)
On asymmetric generalization error of asymmetric multitask learning Keisuke Yamazaki and Samuel Kaski Conference or Workshop Item (2008)
On cyclic edge-connectivity of fullerenes Dragan Marušič and Klavdija Kutnar Article Item not available online. (2008)
On geometric Lagrange interpolation by quadratic parametric patches Gašper Jaklic, Jernej Kozak, Marjetka Krajnc, Vito Vitrih and Emil Žagar Article Item not available online. (2008)
On Optimal Sampling for Particle Filtering in digital communication Steffen Barembruch, Aurelien Garivier and Eric Moulines Article Item not available online. (2008)
On possible optimization of road transport with respect to data on transport history Boris Horvat, Tomaž Pisanski, Alen Orbanic and Primož Lukšic Other Item not available online. (2008)
On quartic half-arc-transitive metacirculants Dragan Marušič and Primož Šparl Article Item not available online. (2008)
On Rational Stochastic Languages François Denis and Yann Esposito Article Item not available online. (2008)
On representation of DNA by line distance matrix Tomaž Pisanski, Jure Zupan and Milan Randić Article Item not available online. (2008)
On Similarities between Inference in Game Theory and Machine Learning I. Rezek, D. Leslie, S. Reece, S.J. Roberts, A. Rogers, R.K. Dash and N.K. Jennings Article Item not available online. (2008)
On the performance of clustering in Hilbert spaces Gerard Biau, Luc Devroye and Gábor Lugosi Article Item not available online. (2008)
On total chromatic number of direct product graphs Blaž Zmazek and Katja Prnaver Conference or Workshop Item Item not available online. (2008)
Online Classification for Complex Problems Using Simultaneous Projections Yonatan Amit, Shai Shalev-Shwartz and Yoram Singer Article Item not available online. (2008)
Online graph prediction with random trees Nicolo' Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item Item not available online. (2008)
Online graph prediction with random trees Nicolo' Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item (2008)
OP-ELM: Theory, Experiments and a Toolbox Yoan Miche, Antti Sorjamaa and Amaury Lendasse Book Section Item availablity restricted. (2008)
Optimal control in large stochastic multi-agent systems Bart Broek, Wim Wiegerinck and Bert Kappen Book Section (2008)
Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Alberto Guillén, Eric Séverin and Fernando Mateo Conference or Workshop Item Item availablity restricted. (2008)
PAC-Bayes Analysis of Maximum Entropy Learning John Shawe-Taylor and David Hardoon Conference or Workshop Item (2008)
Pattern Analysis, Statistical Modelling and Computational Learning 2004-2008. The PASCAL brochure. Peter Bentley Other Item not available online. (2008)
Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data Nicole Krämer, Anne-Laure Boulesteix and Gerhard Tutz Article Item not available online. (2008)
Perfect codes in direct products of cycles - a complete characterization Janez Žerovnik Article Item not available online. (2008)
Planetary-Scale Views on a Large Instant-Messaging Network Jure Leskovec and Eric Horvitz Conference or Workshop Item Item not available online. (2008)
Polytopal Graph Complexity, Matrix Permanents, and Embedding Francisco Escolano, Edwin Hancock and Miguel Lozano Conference or Workshop Item Item not available online. (2008)
Principal Component Analysis for Sparse High-Dimensional Data Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (2008)
Probabilistic inductive classes of graphs Vladimir Batagelj, Nataša Kejžar and Zoran Nikoloski Article Item not available online. (2008)
Probabilistic inductive classes of graphs Nataša Kejžar, Zoran Nikoloski and Vladimir Batagelj Article Item not available online. (2008)
Probabilistic White Matter Fiber Tracking using Particle Filtering and von Mises-Fisher Sampling Edwin Hancock, Fan Zhang, Guido Gerig and Caset Goodlett Article Item not available online. (2008)
Protein Functional Class Prediction With a Combined Graph H.H. Shin, K. Tsuda and B. Schölkopf Article (2008)
Protein-ligand interaction prediction: an improved chemogenomics approach Laurent Jacob and Jean-Philippe Vert Article Item not available online. (2008)
Quasi-isometric parameterization for texture mapping Xianfang Sun and Edwin Hancock Article Item not available online. (2008)
Randomization techniques for statistical significance testing on graphs Sami Hanhijärvi, Gemma Garriga and Kai Puolamäki Conference or Workshop Item (2008)
Ranking and empirical minimization of U-statistics Stephan Clemencon, Gábor Lugosi and Nicolas Vayatis Article Item not available online. (2008)
Reachability relations in digraphs Dragan Marušič, Aleksander Malnič, Norbert Seifter, Primož Šparl and Boris Zgrablić Article Item not available online. (2008)
Recent trends and future directions in vertex-transitive graphs Dragan Marušič and Klavdija Kutnar Article Item not available online. (2008)
Regularized boost for semi-supervised learning Ke Chen and Shihai Wang Article Item not available online. (2008)
Results on the PASCAL challenge "Simple causal effects in time series" Ivan Markovsky Conference or Workshop Item (2008)
Retractions onto series-parallel posets Victor Dalmau, Andrei Krokhin and Benoit Larose Article Item not available online. (2008)
Retrospective MCMC for Dirichlet process hierarchical models Omiros Papaspiliopoulos and Gareth Roberts Article Item not available online. (2008)
Risk Assessment in Practice: A Real Case Study Marco Benini and Sabrina Sicari Article Item not available online. (2008)
RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics B. Schölkopf, B.K. Sriperumbudur, A. Gretton and K. Fukumizu Book Section (2008)
Robustly estimating the flow direction of information in complex physical systems Guido Nolte, Andreas Ziehe, Vadim Nikulin, Alois Schlögl, Nicole Krämer, Tom Brismar and Klaus-Robert Müller Article Item not available online. (2008)
Self-organization using synaptic plasticity. V. Gomez, A. Kaltenbrunner, V. Lopez and Bert Kappen Conference or Workshop Item Item not available online. (2008)
Semiparametric regression estimation using noisy nonlinear non invertible functions of the observations Elisabeth Gassiat and Benoit Landelle Article (2008)
Sequence Labelling SVMs Trained in One Pass Antoine Bordes, Nicolas Usunier and Léon Bottou Conference or Workshop Item Item not available online. (2008)
Shape analysis of carbon nanotube junctions Tomaž Pisanski, Ante Graovac and István László Article Item not available online. (2008)
Shape analysis of polyhex carbon nanotubes and nanotori Tomaž Pisanski, Ante Graovac, István László and Dejan Plavšić Conference or Workshop Item Item not available online. (2008)
Shape preserving interpolation by cubic G [sup] 1 splines in R [sup] 3 Gašper Jaklic and Emil Žagar Conference or Workshop Item Item not available online. (2008)
Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. J. D. B. Nelson, Bob Damper, Steve Gunn and B. Guo Article Item not available online. (2008)
Similarity, Kernels, and the Triangle Inequality F. Jäkel, B. Schölkopf and F.A. Wichmann Article (2008)
Similarity-based cross-layered hierarchical representation for object categorization. Marko Boben, Sanja Fidler and Aleš Leonardis Conference or Workshop Item (2008)
SimpleMKL Alain Rakotomamonjy, Francis Bach, Yves Grandvalet and Stephane Canu Article (2008)
SIRENE: Supervised Inference of REgulatory NEtworks Fantine Mordelet and Jean-Philippe Vert Article Item not available online. (2008)
Sparse Learning and Adaptation in Online Kernel Methods Supawan Phonpitakchai and Tony Dodd Conference or Workshop Item Item not available online. (2008)
Sparse Multiscale Gaussian Process Regression C. Walder, K.I. Kim and B. Schölkopf Book Section (2008)
Sparse Probabilistic Projections Cedric Archambeau and Francis Bach Conference or Workshop Item Item availablity restricted. (2008)
Spectral Embedding of Feature Hypergraphs Peng Ren, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2008)
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions Alejandro Isaza, Csaba Szepesvari, Vadim Bulitko and Russ Greiner Conference or Workshop Item (2008)
Spin models on random graphs with controlled topologies beyond degree constraints Conrad Perez-Vicente and Anthony Coolen Article (2008)
Statistical estimation of rational transducers applied to machine translation Jesús Andrés, Alfons Juan and Francisco Casacuberta Article Item not available online. (2008)
Statistical estimation of rational transducers applied to machine translation Jesús Andrés, Francisco Casacuberta and Alfons Juan Article Item not available online. (2008)
Statistical Performance of Support Vector Machines Gilles Blanchard, Olivier Bousquet and Pascal Massart Article Item not available online. (2008)
Statistical Properties of Community Structure in Large Social and Information Networks Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney Article Item not available online. (2008)
Stochastic Optimal Control Bert Kappen and Marc Toussaint Conference or Workshop Item Item not available online. (2008)
STOCHASTIC SUBGRADIENT APPROACH FOR SOLVING LINEAR SUPPORT VECTOR MACHINES – AN OVERVIEW Jan Rupnik Conference or Workshop Item Item not available online. (2008)
Strategies for prediction under imperfect monitoring. Gábor Lugosi, Shie Mannor and Gilles Stoltz Article Item not available online. (2008)
Structured non-negative matrix factorization with sparsity patterns Hans Laurberg, Mikkel N. Schmidt, Mads G. Christensen and Søren Holdt Jensen Conference or Workshop Item Item not available online. (2008)
Support Vector Machines and Kernels for Computational Biology A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf and G. Rätsch Article (2008)
Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies Sebastian Bitzer, Ioannis Havoutis and Sethu Vijayakumar Conference or Workshop Item (2008)
Tailoring density estimation via reproducing kernel moment matching L. Song, X. Zhang, A. Smola, A. Gretton and B. Schölkopf Book Section (2008)
Terminal polynomials and star-like graphs Boris Horvat, Tomaž Pisanski and Milan Randić Article Item not available online. (2008)
That simple device already used by Gauss Peter Grünwald Book Section (2008)
The Double-Barrelled LASSO David Hardoon and John Shawe-Taylor Conference or Workshop Item (2008)
The Gaussian Process Density Sampler Ryan Adams, Iain Murray and David MacKay Conference or Workshop Item (2008)
The puzzle of granular computing Bruno Apolloni, Witold Pedrycz, Simone Bassis and Dario Malchiodi Book Item not available online. (2008)
The skew spectrum of graphs Risi Kondor and Karsten Borgwardt Conference or Workshop Item (2008)
Theory of matching pursuit Zakria Hussain and John Shawe-Taylor Conference or Workshop Item (2008)
Topic detection and tracking in a stream of documents Blaz Novak Thesis Item not available online. (2008)
Towards independent subspace analysis in controlled dynamical systems Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2008)
Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer Article Item not available online. (2008)
Tracking the best quantizer Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item not available online. (2008)
Truncating the loop series expansion for bp. V Gomez, Joris Mooij and Bert Kappen Article (2008)
Two grammatical inference applications in music processing P. P. Cruz and Enrique Vidal Article Item not available online. (2008)
Two simple sufficient conditions for FDR control Gilles Blanchard and Etienne Roquain Article (2008)
Understanding and improving belief propagation Joris Mooij Thesis Item not available online. (2008)
Universal Multi-task Kernels Charles A. Micchelli, Andrea Caponnetto, Massimiliano Pontil and Yiming Ying Article (2008)
Using Multiplicity Automata to Identify Transducer Relations from Membership and Equivalence Queries Jose Oncina Article Item not available online. (2008)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article (2008)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (2008)
Using the Delta test for variable selection Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona and Michel Verleysen Conference or Workshop Item Item availablity restricted. (2008)
Variational inference for Markov jump processes Manfred Opper and Guido Sanguinetti Article (2008)
Variational Inference for the Indian Buffet Process Finale Doshi, Kurt Tadayuki Miller, Jurgen van Gael and Yee Whye Teh Conference or Workshop Item (2008)
Virtual screening of GPCRs: an in silico chemogenomics approach Laurent Jacob, Brice Hoffmann, Véronique Stoven and Jean-Philippe Vert Article Item not available online. (2008)
Visualizing the Repeat Structure of Genomic Sequences Nava E. Whiteford, Gerald Weber, Adam Prügel-Bennett, Jonathan W. Essex and Cameron Neylon Article (2008)
Voluntary Brain Regulation and Communication with ECoG-Signals T. Hinterberger, G. Widmann, T.N. Lal, J. Hill, M. Tangermann, W. Rosenstiel, B. Schölkopf, C.E. Elger and N. Birbaumer Article (2008)
xftsp: a Tool for Time Series Prediction by Means of Fuzzy Inference Systems Federico Montesino, Amaury Lendasse and Angel Barriga Barros Conference or Workshop Item Item not available online. (2008)
Analysis of the IJCNN 2007 Agnostic Learning vs. Prior Knowledge Challenge Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Article Item availablity restricted. (27 December 2007)
Resampling and Model selection Sylvain Arlot Thesis (13 December 2007)
Soft Failure Detection using Factorial Hidden Markov Models Guillaume Bouchard and Jean-Marc Andreoli Conference or Workshop Item (13 December 2007)
Apprentissage de Fonctions d'ordonnancement et de classification avec des données partiellement étiquetées Massih Amini Thesis (11 December 2007)
Apprentissage de fonctions de classification et d'ordonnancement avec des données partiellement étiquetées Massih Amini Thesis (11 December 2007)
Inferring vertex properties from topology in large networks Janne Aukia, Samuel Kaski and Janne Sinkkonen Conference or Workshop Item (08 December 2007)
Efficient Bounds for the softmax Function, Applications to Inference in Hybrid Models Guillaume Bouchard Conference or Workshop Item (07 December 2007)
Scene Segmentation with CRFs Learned from Partially Labeled Images Jakob Verbeek and William Triggs Conference or Workshop Item (03 December 2007)
A note on n-tuple colourings and circular colourings of planar graphs with large odd girth Petra Šparl and Janez Žerovnik Article Item not available online. (December 2007)
Computing Positional Oligomer Importance Matrices (POIMs) Alexander Zien, Petra Philips and Sören Sonnenburg Monograph (December 2007)
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation Masashi Suigyama, Shinichi Nakajima, Hisashi Kashima, Paul Buenau and Motoaki Kawanabe Conference or Workshop Item Item not available online. (December 2007)
Entailment and Basis Optimality in Confidence-Bounded Association Rules José Balcázar Monograph Item not available online. (December 2007)
Graph-based methods for manifold learning Jean-Yves Audibert Conference or Workshop Item Item not available online. (December 2007)
Optimized cutting plane algorithm for support vector machines Vojtech Franc and Sören Sonnenburg Monograph (December 2007)
Robustly estimating the flow direction of information in complex physical systems Guido Nolte, Andreas Ziehe, Vadim Nikulin, Alois Schlögl, Nicole Krämer, Tom Brismar and Klaus-Robert Müller Article (December 2007)
Semiparametric Gaussian white noise models in the non-regular case Ismael Castillo and Eric Cator Article (December 2007)
Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons Lars Büsing and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (December 2007)
Sufficient conditions for convergence of the sum-product algorithm Joris Mooij and Bert Kappen Article (December 2007)
Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaid Harchaoui, Francis Bach and Eric Moulines Conference or Workshop Item (December 2007)
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity Robert Legenstein, Dejan Pecevski and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (December 2007)
Toward Manifold-Adaptive Learning Amir massoud Farahmand, Csaba Szepesvari and Jean-Yves Audibert Conference or Workshop Item Item not available online. (December 2007)
Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Conference or Workshop Item (December 2007)
Variational Inference for Markov Jump Processes Manfred Opper and Guido Sanguinetti Conference or Workshop Item (December 2007)
A Game-Theoretic Characterization of Updating Sets of Probabilities Peter Grünwald and Joe Halpern Other Item not available online. (20 November 2007)
On higher-order perceptron algorithms Claudio Gentile, Cristian Brotto and Fabio Vitale Conference or Workshop Item (04 November 2007)
Catching up faster in Bayesian model selection and model averaging Tim Erven, van, Peter Grünwald and Steven de Rooij Conference or Workshop Item (02 November 2007)
Biologically Inspired Kinematic Synergies Provide a New Paradigm for Balance Control of Humanoid Robots Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (November 2007)
Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference. Minh Quach, Nicolas Brunel and Florence d'Alché-Buc Article Item not available online. (November 2007)
Learning manifolds with the Parametrized Self-Organizing Map and Unsupervised Kernel Regression Stefan Klanke Thesis Item not available online. (November 2007)
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data Zakria Hussain, Francois Laviolette, Mario Marchand, John Shawe-Taylor, Spencer Charles Brubaker and Matthew D Mullin Article (November 2007)
VC Theory of Large Margin Multi-Category Classifiers Yann Guermeur Article Item not available online. (November 2007)
Segmenting multi-attribute sequences using dynamic Bayesian networks Robert Gwadera, Janne Toivola and Jaakko Hollmen Conference or Workshop Item Item availablity restricted. (28 October 2007)
Similarity and differences by finite automata Tamas Gaal Conference or Workshop Item Item not available online. (23 October 2007)
Advances in variable selection and visualization methods for analysis of multivariate data Timo Similä Thesis Item availablity restricted. (19 October 2007)
A Library For Locally Weighted Projection Regression Stefan Klanke, Sethu Vijayakumar and Stefan Schaal Article Item not available online. (17 October 2007)
Learning Kernel Perceptron on Noisy Data using Random Projections Guillaume Stempfel and Liva Ralaivola Conference or Workshop Item Item not available online. (11 October 2007)
Fast NML Computation for Naive Bayes Models Tommi Mononen and Petri Myllymäki Conference or Workshop Item (02 October 2007)
Theoretical Foundations for Large-Margin Kernel-Based Continuous Speech Recognition Joseph Keshet Monograph (01 October 2007)
A Hilbert Space Embedding for Distributions Alex Smola, Arthur Gretton, Le Song and Bernhard Schölkopf Conference or Workshop Item Item not available online. (October 2007)
Apprenticeship learning using inverse reinforcement learning and gradient methods G Neu and Csaba Szepesvari Conference or Workshop Item Item not available online. (October 2007)
Calculating the Normalized Maximum Likelihood Distribution for Bayesian Forests Hannes Wettig, Petri Kontkanen and Petri Myllymäki Article (October 2007)
Cluster Stability for Finite Samples Ohad Shamir and Naftali Tishby Conference or Workshop Item (October 2007)
Euclidean Embedding of Co-occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby Article (October 2007)
Load estimation and control using learned dynamics models Giorgos Petkos and Sethu Vijayakumar Conference or Workshop Item (October 2007)
Methodology for Long-term Prediction of Time Series Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji and Amaury Lendasse Article Item availablity restricted. (October 2007)
Optimal parameters for search using a barrier tree Markov model Benfold W, Hallam J and Adam Prügel-Bennett Article Item not available online. (October 2007)
Bias-Variance tradeoff in Hybrid Generative-Discriminative models Guillaume Bouchard Article (29 September 2007)
Towards Structured Output Prediction of Enzyme Function Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Conference or Workshop Item Item availablity restricted. (24 September 2007)
Advantages of Using Feature Selection Techniques on Steganalysis Schemes Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Book Section Item availablity restricted. (21 September 2007)
CD(4) has bounded width Catarina Carvalho, Victor Dalmau, Petar Markovic and Miklos Maroti Article Item not available online. (21 September 2007)
Gaussian fitting based FDA for chemometrics Tuomas Karna and Amaury Lendasse Book Section Item availablity restricted. (21 September 2007)
Non-parametric Residual Variance Estimation in Supervised Learning Elia Liitiäinen, Amaury Lendasse and Francesco Corona Book Section Item availablity restricted. (21 September 2007)
ppls: penalized partial least squares Nicole Krämer and Anne-Laure Boulesteix Other Item not available online. (21 September 2007)
A Fast Method to Predict the Labeling of a Tree Sergio Rojas and Mark Herbster Conference or Workshop Item (17 September 2007)
Learning String Balls with Correction Queries Leonor Becerra Bonache, Colin de la Higuera, Jean-Christophe Janodet and Frédéric Tantini Conference or Workshop Item Item not available online. (17 September 2007)
Algebraic and spectral methods for network anomaly detection. Given at: NATO school on Mining Massive Datasets for Security Italy, Sep. 2007 Naftali Tishby Conference or Workshop Item (05 September 2007)
Subtree Testing and Closed Tree Mining Through Natural Representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (03 September 2007)
Large Margin Algorithms for Discriminative Continuous Speech Recognition Joseph Keshet Thesis (01 September 2007)
A General Dimension for Query Learning José Balcázar, Jorge Castro, David Guijarro, Johannes Köbler and Wolfgang Lindner Article (September 2007)
A linear-time algorithm for computing the multinomial stochastic complexity Petri Kontkanen and Petri Myllymäki Article Item not available online. (September 2007)
Aggregation to compete the best prediction function in a finite set Jean-Yves Audibert Conference or Workshop Item Item not available online. (September 2007)
Applications of regularized least squares to classification problems Nicolò Cesa-Bianchi Article (September 2007)
Conditional Graphical Models Fernando Perez-Cruz, Massimiliano Pontil and Zoubin Ghahramani Book Section (September 2007)
Coordinating concurrent transmissions: a constant-factor approximation of maximum-weight independent set in local conflict graphs Petteri Kaski, Aleksi Penttinen and Jukka Suomela Conference or Workshop Item Item availablity restricted. (September 2007)
Discriminative Sequence Labeling by Z-score Optimization elisa ricci, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2007)
Efficient continuous-time reinforcement learning with adaptive state graphs Gerhard Neumann, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (September 2007)
Gap-free bounds for multi-armed stochastic bandit. Anatoli Juditsky, Alexander Nazin, Alexandre Tsybakov and Nicolas Vayatis Conference or Workshop Item (September 2007)
Input selection and shrinkage in multiresponse linear regression Timo Similä and Jarkko Tikka Article Item availablity restricted. (September 2007)
Linear Data Fusion with drCCA Abhishek Tripathi, Arto Klami and Samuel Kaski Conference or Workshop Item Item availablity restricted. (September 2007)
Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models Silvia Chiappa and David Barber Conference or Workshop Item Item not available online. (September 2007)
Principal Component Analysis for Large Scale Problems with Lots of Missing Values Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (September 2007)
Probabilistic explanation based learning Luc De Raedt, Angelika Kimmig and Hannu Toivonen Conference or Workshop Item (September 2007)
Proceedings of the IEEE machine learning for signal processing XVII Book Item not available online. (September 2007)
Spectral Algorithms for Supervised Learning Laura Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De vito and Alessandro Verri Article Item not available online. (September 2007)
The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Raetsch, Bernhard Schölkopf, Alex Smola, Pascal Vincent, Jason Weston and Robert Williamson Article (September 2007)
Truncating the loop series expansion for belief propagation Vicenç Gómez, Joris Mooij and Bert Kappen Article (September 2007)
A Markov Clustering Method for Analyzing Movement Trajectories Jacob Goldberger, Keren Erez and Moshe Abeles Conference or Workshop Item (28 August 2007)
Fuzzy ensemble clustering for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Book Section (24 August 2007)
Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (12 August 2007)
Overview of Morpho Challenge in CLEF 2007 Mikko Kurimo, Mathias Creutz and Ville Turunen Conference or Workshop Item (11 August 2007)
Unsupervised Morpheme Analysis Evaluation by IR experiments at Morpho Challenge 2007 Mikko Kurimo, Mathias Creutz and Ville Turunen Conference or Workshop Item (11 August 2007)
Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard at Morpho Challenge 2007 Mikko Kurimo, Mathias Creutz and Matti Varjokallio Conference or Workshop Item (11 August 2007)
Closed and maximal tree mining using natural representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (01 August 2007)
General Graph Refinement with Polynomial Delay Jan Ramon and Siegfried Nijssen Conference or Workshop Item Item not available online. (01 August 2007)
What is frequent in a single graph? Björn Bringmann and Siegfried Nijssen Conference or Workshop Item Item not available online. (01 August 2007)
Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (August 2007)
Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (August 2007)
Higher Order Statistics in Play-out Analysis Tapani Raiko Conference or Workshop Item (August 2007)
Learning to align: a statistical approach elisa ricci, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (August 2007)
On the generalization error of fixed combinations of classifiers Martin Anthony Article Item not available online. (August 2007)
Online Learning: Theory, Algorithms, and Applications Shai Shalev-Shwartz Thesis (August 2007)
Simultaneous analysis of Lasso and Dantzig selector. Peter Bickel, Yaac'ov Ritov and Alexandre Tsybakov Article (August 2007)
Time series prediction competition: The CATS benchmark Amaury Lendasse, Erkki Oja, Olli Simula and Michel Verleysen Article Item availablity restricted. (August 2007)
Unveiling Music Structure via PLSA Similarity Fusion Jerónimo Arenas-Garcia, Anders Meng, Kaare B. Petersen, Tue Lehn-Schioler, Lars K. Hansen and Jan Larsen Conference or Workshop Item (August 2007)
Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions Elia Liitiäinen and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (August 2007)
A Kernel Approach to Comparing Distributions Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (24 July 2007)
A Kernel Approach to Comparing Distributions Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (24 July 2007)
Modeling Sequence Evolution with Kernel Methods Margherita Bresco, Marco Turchi, Tijl De Bie and Nello Cristianini Article Item not available online. (24 July 2007)
Mining Frequent Closed Unordered Trees Through Natural Representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (22 July 2007)
Lattice Characterization of Armstrong and Symmetric Dependencies Jaume Baixeries Thesis Item availablity restricted. (12 July 2007)
Régression Logistique Parcimonieuse Romain Herault and Yves Grandvalet Conference or Workshop Item Item availablity restricted. (04 July 2007)
An application of bayesian model averaging to histograms Rudy Sicard and Thierry Artières Conference or Workshop Item Item not available online. (July 2007)
Apprentissage de Mélanges Gaussiens par Maximisation de la marge avec SMO Trinh-Minh-Tri Do and Thierry Artières Conference or Workshop Item (July 2007)
Estimating human endogeneous retrovirus activities in various tissues with a hidden Markov mixture model Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski Conference or Workshop Item Item not available online. (July 2007)
Gene selection via the BAHSIC family of algorithms Le Song, Justin Bedo, karsten borgwardt, Arthur Gretton and Alex Smola Article Item not available online. (July 2007)
Hierarchical Gaussian process latent variable models Neil Lawrence and Andrew Moore Conference or Workshop Item (July 2007)
Incorporating Observer Biases in Keyhole Plan Recognition (Efficiently!) Dorit Avrahami-Zilberbrand and Gal Kaminka Conference or Workshop Item Item not available online. (July 2007)
Kernel-based data fusion for gene prioritization Tijl De Bie, Leon-Charles Tranchevent Tranchevent, Liesbeth van Oeffelen and Yves Moreau Article Item not available online. (July 2007)
Modeling and unsupervised classification of multivariate hidden Markov chains with copulas Nicolas J-B. Brunel, Jerôme Lapuyade-Lahorgue and Wojciech Pieczynski Article (July 2007)
Molecular Graph Kernels for Drug Discovery Craig Saunders and Anthony Demco Conference or Workshop Item Item not available online. (July 2007)
Q-learning Algorithms for Optimal Stopping Based on Least Squares Huizhen Yu and Dimitri Bertsekas Conference or Workshop Item (July 2007)
Robustness of VOR and OKR adaptation under kinematics and dynamics transformations Adrian Haith and Sethu Vijayakumar Conference or Workshop Item (July 2007)
Universal multi-task kernels Andreas Caponnetto, Charles Micchelli, Massimiliano Pontil and Yiming Ying Monograph (July 2007)
Approximability of identifying codes and locating-dominating codes Jukka Suomela Article Item availablity restricted. (30 June 2007)
Learning from Relevant Tasks Only Samuel Kaski and Jaakko Peltonen Conference or Workshop Item Item not available online. (29 June 2007)
Learning Decision Trees Adaptively from Data Streams with Time Drift Albert Bifet and Ricard Gavaldà Monograph Item availablity restricted. (28 June 2007)
The Information Bottleneck Revisited or How to Choose a Good Distortion Measure Peter Harremoes and Naftali Tishby Article (24 June 2007)
Sparse Probabilistic Classifiers Romain Herault and Yves Grandvalet Conference or Workshop Item (20 June 2007)
A distributed approximation scheme for sleep scheduling in sensor networks Patrik Floréen, Petteri Kaski and Jukka Suomela Conference or Workshop Item Item availablity restricted. (18 June 2007)
Strong Equilibrium in Cost-Sharing Connection Game Amir Epstein, Michal Feldman and Yishay Mansour Conference or Workshop Item (09 June 2007)
Exploiting the Prior in the PAC-Bayes Bound Emilio Parrado-Hernandez, John Shawe-Taylor and Amiran Ambroladze Monograph Item availablity restricted. (08 June 2007)
Regret to the Best vs. Regret to the average. Eyal Even-Dar, Michael Kearns, Yishay Mansour and Jenn Wortman Conference or Workshop Item (08 June 2007)
The Communication Complexity of Uncoupled Nash Equilibrium Procedures Srgiu Hart and Yishay Mansour Conference or Workshop Item (08 June 2007)
Fast Semi-supervised Discriminative Component Analysis Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item Item not available online. (06 June 2007)
Modeling Natural Sounds With Modulation Cascade Processes Richard Turner and Maneesh Sahani Article (01 June 2007)
Using generalization error bounds to train the set covering machine Zakria Hussain and John Shawe-Taylor Article (01 June 2007)
Improved Rates for the Stochastic Continuum-Armed Bandit Problem Peter Auer, Ronald Ortner and Csaba Szepesvari Book Section Item not available online. (June 2007)
Adaptive Learning via the Balancing Principle Ernesto De Vito, Sergei Pereverzev and Lorenzo Rosasco Other Item not available online. (June 2007)
Boosting Algorithms for Maximizing the Soft Margin Manfred Warmuth, Karen Glocer and Gunnar Raetsch Conference or Workshop Item Item not available online. (June 2007)
Contrast Set Mining for Distinguishing between Similar Diseases Petra Kralj, Nada Lavrac, Dragan Gamberger and Antonija Krstačić Conference or Workshop Item Item not available online. (June 2007)
Convergence of the graph Laplacian: application to dimensionality estimation and image segmentation Jean-Yves Audibert Conference or Workshop Item Item not available online. (June 2007)
Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach Silvia Chiappa and David Barber Monograph Item not available online. (June 2007)
Disagreement loop and path creation/annihilation algoritms for planar Markov fields with applications to image segmentation T. Schreiber and M.N.M. van Lieshout Other Item not available online. (June 2007)
Fast learning rates for plug-in classifiers under the margin condition Jean-Yves Audibert Conference or Workshop Item Item not available online. (June 2007)
Graph Laplacians and their convergence on random neighborhood graphs Matthias Hein, Jean-Yves Audibert and Ulrike Von Luxburg Article Item not available online. (June 2007)
Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection Nicole Krämer and Mikio L. Braun Conference or Workshop Item (June 2007)
Local dependent components Arto Klami and Samuel Kaski Conference or Workshop Item (June 2007)
Mixtures of Robust Probabilistic Principal Component Analyzers Cedric Archambeau, Nicolas Delannay and Michel Verleysen Article Item not available online. (June 2007)
Stability of k-means clustering Shai Ben-David, David Pal and Hans Simon Article (June 2007)
Strategies for prediction under imperfect monitoring Gábor Lugosi, Gilles Stoltz and Shie Mannor Conference or Workshop Item (June 2007)
Supporting Factors to Improve the Explanatory Potential of Contrast Set Mining: Analyzing Brain Ischaemia Data Nada Lavrac, Petra Kralj, Dragan Gamberger and Antonija Krstačić Conference or Workshop Item Item not available online. (June 2007)
Transductive Rademacher complexity and its applications Ran El-Yaniv and Dmitry Pechyony Conference or Workshop Item (June 2007)
PALMA: mRNA to Genome Alignments using Large Margin Algorithms Schulze, U, Hepp, B, Ong, C, and Rätsch, G U Schulze, B Hepp, Cheng Soon Ong and Gunnar Raetsch Article Item not available online. (30 May 2007)
Switching between predictors with an application in density estimation Tim Erven, van, Steven de Rooij and Peter Grünwald Conference or Workshop Item (24 May 2007)
Bounding the k-family-wise error rate using resampling methods Tijl De Bie and John Shawe-Taylor Conference or Workshop Item (15 May 2007)
Linear-time computation of similarity measures for sequential data Konrad Rieck and Pavel Laskov Article Item not available online. (03 May 2007)
Methods for estimating human endogenous retrovirus activities from EST databases Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski Article Item not available online. (03 May 2007)
Accurate Splice Site Prediction Using Support Vector Machines Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch Article Item not available online. (May 2007)
Contrast Set Mining through Subgroup Discovery Applied to Brain Ischaemia Data Petra Kralj, Nada Lavrac, Dragan Gamberger and Antonija Krstačić Conference or Workshop Item Item not available online. (May 2007)
Learning from Noisy Data using Hyperplane Sampling and Sample Averages Guillaume Stempfel, Liva Ralaivola and François Denis Monograph (May 2007)
Loop corrections for approximate inference on factor graphs Joris Mooij and Bert Kappen Article (May 2007)
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines G. Camps, E. Soria, J. Perez, Fernando Perez-Cruz, A. Artes-Rodriguez and N. V. Jimenez-Torres Article (May 2007)
Undercomplete blind subspace deconvolution Zoltan Szabo, Barnabas Poczos and András Lorincz Article (May 2007)
Learning from Time-Changing Data with Adaptive Windowing Albert Bifet and Ricard Gavaldà Conference or Workshop Item Item availablity restricted. (26 April 2007)
Combining PAC-Bayesian and generic chaining bounds Jean-Yves Audibert and Olivier Bousquet Article Item not available online. (20 April 2007)
State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition Joos Vandewalle, Johan Suykens, Bart De Moor and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (13 April 2007)
Discriminative Keyword Spotting Joseph Keshet, David Grangier and Samy Bengio Article Item availablity restricted. (11 April 2007)
Machine Learning of Motor Skills for Robotics Jan Peters Thesis Item not available online. (10 April 2007)
Value-iteration based fitted policy iteration: learning with a single trajectory András Antos, Csaba Szepesvari and Rémi Munos Conference or Workshop Item Item availablity restricted. (05 April 2007)
Gaussian process latent variable models for fault detection Luka Eciolaza, M. Alkarouri, Neil Lawrence, V. Kadirkamanathan and Peter Fleming Conference or Workshop Item Item not available online. (01 April 2007)
Introduction to the special issue on echo state networks and liquid state machines. Herbert Jäger, Wolfgang Maass and Jose Principe Article Item availablity restricted. (April 2007)
Majorize-minimize algorithm for multiresponse sparse regression Timo Similä Conference or Workshop Item Item availablity restricted. (April 2007)
Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Monograph (April 2007)
A Framework for Probability Density Estimation John Shawe-Taylor and Alexander Dolia Conference or Workshop Item (21 March 2007)
Incorporating Prior Knowledge on Features into Learning Eyal Krupka and Naftali Tishby Article (21 March 2007)
Learning for larger datasets with the Gaussian process latent variable model Neil Lawrence Conference or Workshop Item (21 March 2007)
An Overview on the Shrinkage Properties of Partial Least Squares Regression Nicole Krämer Article Item not available online. (09 March 2007)
Causal feature selection Isabelle Guyon, Constantin Aliferis and Andre Elisseeff Monograph (March 2007)
Depth map calculation for a variable number of moving objects using Markov sequential object processes M.N.M. van Lieshout Other Item not available online. (March 2007)
Estimation of the law of random shifts deformation Ismael Castillo and Jean-Michel Loubes Article (March 2007)
Fast learning rates in statistical inference through aggregation Jean-Yves Audibert Article Item not available online. (March 2007)
Generalized SMO-style decomposition algorithms Nikolas List Conference or Workshop Item Item availablity restricted. (March 2007)
Kernel Multi-task Learning using Task-specific Features Edwin Bonilla, Felix Agakov and Christopher Williams Conference or Workshop Item (March 2007)
One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties Chloé Azencott, Alexandre Ksikes, Jonathan Chen, Joshua S. Swamidass, Liva Ralaivola and Pierre Baldi Article Item not available online. (March 2007)
Optimal Dyadic Decision Trees Gilles Blanchard, Christin Schaefer, Yves Rozenholc and Klaus-Robert Müller Article (March 2007)
Penalized Partial Least Squares with Applications to B-Splines Transformations and Functional Data Nicole Krämer, Anne-Laure Boulesteix and Gerhard Tutz Article (March 2007)
Statistical Properties of Kernel Principal Component Analysis Gilles Blanchard, Olivier Bousquet and Laurent Zwald Article (March 2007)
Analysis of High-Dimensional Data with Partial Least Squares and Boosting Nicole Krämer Thesis (21 February 2007)
Proceedings of ESTSP 2007 Book Item not available online. (07 February 2007)
A Characterization of Strong Learnability in the Statistical Query Model Hans Simon Article (February 2007)
A Characterization of Strong Learnability in the Statistical Query Model Hans Simon Conference or Workshop Item (February 2007)
General Polynomial Time Decomposition Methods Nikolas List and Hans Simon Article (February 2007)
Improving the C. elegans genome annotation using machine learning Gunnar Raetsch, Sören Sonnenburg, J Srinivasan, H Witte, Klaus-Robert Müller, R Sommer and Bernhard Schölkopf Article Item not available online. (February 2007)
Learnability of Gaussians with Flexible Variances Yiming Ying and Ding-Xuan Zhou Article Item not available online. (February 2007)
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models Thierry Artières, Sanparith Marukatat and Patrick Gallinari Article Item not available online. (February 2007)
Statistical Consistency of Kernel Canonical Correlation Analysis Kenji Fukumizu, Francis Bach and Arthur Gretton Article Item not available online. (February 2007)
Kernel Methods: A paradigm for Pattern Analysis Craig Saunders, Nello Cristianini and John Shawe-Taylor Book Section Item not available online. (29 January 2007)
Graph simplification and matching using commute times Huaijun Qiu and Edwin Hancock Article Item not available online. (26 January 2007)
Linear Dependence of Stationary Distributions in Ergodic Markov Decision Processes Ronald Ortner Article Item not available online. (25 January 2007)
Spiking neurons can learn to solve information bottleneck problems and to extract independent components Stefan Klampfl, Robert Legenstein and Wolfgang Maass Article Item availablity restricted. (08 January 2007)
WiFi-SLAM using Gaussian process latent variable models Brian D. Ferris, Dieter Fox and Neil Lawrence Conference or Workshop Item (06 January 2007)
Statistical mechanics of learning multiple orthogonal signals: Asymptotic theory and fluctuation effects DC Hoyle and Magnus Rattray Article Item not available online. (January 2007)
A hidden Markov model for estimating retrovirus activities from expressed sequence databases Merja Oja, Jaakko Peltonen and Samuel Kaski Conference or Workshop Item Item not available online. (January 2007)
A Subspace Kernel for Nonlinear Feature Extraction Jason Farquhar and Mingrui Wu Conference or Workshop Item (January 2007)
Adaptive combination of adaptive classifiers for handwritten character recognition Matti Aksela and Jorma Laaksonen Article Item not available online. (January 2007)
Building Blocks for Variational Bayesian Learning of Latent Variable Models Tapani Raiko, Harri Valpola, Markus Harva and Juha Karhunen Article (January 2007)
Continuous time associative bandit problems A György, L Kocsis, I Szabó and Csaba Szepesvari Conference or Workshop Item Item not available online. (January 2007)
Discovering condition-dependent Bayesian networks for gene regulation Antti Ajanki, Janne Nikkila and Samuel Kaski Conference or Workshop Item Item not available online. (January 2007)
Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model Narayanan Edakunni, Stefan Schaal and Sethu Vijayakumar Conference or Workshop Item (January 2007)
Kernel methods Nello Cristianini, John Shawe-Taylor and Craig Saunders Book Section Item not available online. (January 2007)
LARS: A Learning Algorithm for Rewriting Systems Rémi Eyraud, Colin de la Higuera and Jean-Christophe Janodet Article (January 2007)
ProbLog: a probabilistic Prolog and its application in link discovery Luc De Raedt, Angelika Kimmig and Hannu Toivonen Conference or Workshop Item (January 2007)
A Mathematical Framework for Risk Assessment Marco Benini and Sabrina Sicari Article Item not available online. (2007)
A Feedforward Neural Logic based on Synaptic and Volume Transmission, bruno apolloni and simone bassis Article Item not available online. (2007)
Cavity approximation for graphical models. T Rizzo, Bastian Wemmenhove and Bert Kappen Article Item not available online. (2007)
Competition between synaptic depression and facilitation in attractor neural networks J.J. Torres, J.M. Cortes, J. Marro and Bert Kappen Article (2007)
Haplotype inference in general pedigrees using the cluster variation method. Kees Albers Article Item not available online. (2007)
A Dependence Maximization View of Clustering Le Song, Alex Smola, Arthur Gretton and karsten borgwardt Conference or Workshop Item Item not available online. (2007)
A Kernel for Time Series Based on Global Alignments Marco Cuturi, Jean-Philippe Vert, Oysten Birkenes and Tomoko Matsui Book Section Item not available online. (2007)
A Kernel Method for the Two-Sample-Problem Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (2007)
A Kernel Test of Statistical Dependence Arthur Gretton, kenji fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (2007)
A kernel-based causal learning algorithm X. Sun, D. Janzing and B. Schölkopf Conference or Workshop Item Item availablity restricted. (2007)
A Local Learning Approach for Clustering Mingru Wu and Bernhard Schölkopf Conference or Workshop Item Item availablity restricted. (2007)
A memetic algorithm for the generalized traveling salesman problem Gregory Gutin, D Karapetyan and N Krasnogor Conference or Workshop Item (2007)
A Modified SVM Classification Algorithm for Data of Variable Quality Bruno Apolloni, Dario Malchiodi and Luca Natali Conference or Workshop Item Item not available online. (2007)
A new algorithm of non-Gaussian component analysis with radial kernel functions Motoaki Kawanabe, Gilles Blanchard, Masahi Sugiyama and Klaus-Robert Müller Article Item availablity restricted. (2007)
A new pairwise kernel for biological network inference with support vector machines Jean-Philippe Vert, Jian Qiu and William Noble Article Item not available online. (2007)
A phase transition-based perspective on multiple instance kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (2007)
A phase transition-based perspective on multiple instance kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (2007)
A Primal-Dual Perspective of Online Learning Algorithms Shai Shalev-Shwartz and Yoram Singer Article Item not available online. (2007)
A Survey of Convolutive Blind Source Separation Methods Michael Syskind Pedersen, Jan Larsen, Ulrik Kjems and Lucas C. Parra Book Section Item not available online. (2007)
A Tutorial on Kernel Methods for Categorization F. Jäkel, B. Schölkopf and F.A. Wichmann Article Item availablity restricted. (2007)
A tutorial on spectral clustering Ulrike v. Luxburg Article Item not available online. (2007)
A Unified Algorithmic Approach for Efficient Online Label Ranking Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (2007)
Abstracts of the 6th Slovenian International Conference on Graph Theory Book Item not available online. (2007)
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich and Klaus-Robert Müller Article Item not available online. (2007)
Adaptive state aggregation for Reinforcement Learning Andrey Bernstein Thesis Item not available online. (2007)
Advances in Markov chain Monte Carlo methods Iain Murray Thesis (2007)
Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference B. Schölkopf, J. Platt and T. Hofmann Book Item not available online. (2007)
Agglomerative Independent Variable Group Analysis Antti Honkela, Jeremias Seppä and Esa Alhoniemi Conference or Workshop Item (2007)
Aggregation by exponential weighting and sharp oracle inequalities. Arnak Dalalyan and Alexandre Tsybakov Conference or Workshop Item (2007)
Aggregation for Gaussian regression. Florentina Bunea, Alexandre Tsybakov and Marten Wegkamp Article (2007)
An algebraic framework for Bayes nets of time series Peter Caines and Henry Wynn Book Section Item not available online. (2007)
An algorithm for finding connected convex subgraphs of an acyclic digraph Gregory Gutin, A Johnstone, J Reddington, E Scott, A Soleimanfallah and A Yeo Conference or Workshop Item (2007)
An Algorithmic and a Geometric Characterization of Coarsening at Random Richard Gill and Peter Grünwald Article (2007)
An alignment kernel for protein structures Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert and William Noble Article Item not available online. (2007)
An Analysis of Inference with the Universum F.H. Sinz, O. Chapelle, A. Agarwal and B. Schölkopf Conference or Workshop Item Item availablity restricted. (2007)
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models Sathiya Keerthi, Vikas Sindhwani and Olivier Chapelle Conference or Workshop Item (2007)
An Efficient Method for Large Margin Parameter Optimization in Structured Prediction Problems Huizhen Yu and Juho Rousu Monograph Item availablity restricted. (2007)
An evolutionary method for learning HMM structure: prediction of protein secondary structure Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett and Anders Krogh Article Item not available online. (2007)
An integral approach to causal inference with latent variables Sam Maes, Stijn Meganck and Philippe Leray Book Section Item not available online. (2007)
An introduction to stochastic control theory, path integrals and reinforcement learning Bert Kappen Conference or Workshop Item (2007)
An online Classification EM algorithm based on the mixture model Allou Samé, Christophe Ambroise and Gérard Govaert Article Item not available online. (2007)
An unsupervised fuzzy ensemble algorithmic scheme for gene expression data analysis Roberto Avogadri and Giorgio Valentini Conference or Workshop Item (2007)
Approximated geodesic updates with principal natural gradients Zhirong Yang and Jorma Laaksonen Conference or Workshop Item Item not available online. (2007)
Assessing Data Mining Results via Swap Randomization Aristides Gionis, Heikki Mannila, Taneli Mielikäinen and Panayiotis Tsaparas Article (2007)
Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition Silvia Chiappa and David Barber Article Item not available online. (2007)
Bayesian nonparametric latent feature models Zoubin Ghahramani, T L Griffiths and Peter Sollich Book Section (2007)
Better Algorithms and Bounds for Directed Maximum Leaf Problems N Alon, F Fomin, Gregory Gutin, M Krivelevich and S Saurabh Conference or Workshop Item (2007)
Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning Antti Honkela, Harri Valpola, Alexander Ilin and Juha Karhunen Article Item availablity restricted. (2007)
Branch and Bound for Semi-Supervised Support Vector Machines Olivier Chapelle, Vikas Sindhwani and Sathiya Keerthi Conference or Workshop Item (2007)
Causal Feature Selection Isabelle Guyon, Andre Elisseeff and Constantin Aliferis Book Section (2007)
Characterizing Implications of Injective Partial Orders José Balcázar and Gemma Garriga Conference or Workshop Item (2007)
Classification of microarray data using gene networks Franck Rapaport, Andrei Zinovyev, Marie Dutreix, Emmanuel Barillot and Jean-Philippe Vert Article Item not available online. (2007)
Cluster identification in nearest neighbor graphs. Markus Maier, Matthias Hein and Ulrike v. Luxburg Conference or Workshop Item Item not available online. (2007)
Clustering of contingency table and mixture model Gérard Govaert and Mohamed Nadif Article Item not available online. (2007)
Colored Maximum Variance Unfolding Le Song, Alex Smola, Karsten Borgwardt and Arthur Gretton Conference or Workshop Item Item not available online. (2007)
Combining Haplotypers Matti Kääriäinen, Niels Landwehr, Sampsa Lappalainen and Taneli Mielikäinen Monograph (2007)
Compact Modeling of Data Using Independent Variable Group Analysis Esa Alhoniemi, Antti Honkela, Krista Lagus, Jeremias Seppä, Paul Wagner and Harri Valpola Article Item availablity restricted. (2007)
Comparison of visualization methods for an atlas of gene expression data sets Jarkko Venna and Samuel Kaski Article Item not available online. (2007)
Computational Intelligence: By Amit Konar Jan Peters Article Item not available online. (2007)
Consistency of the group Lasso and multiple kernel learning Francis Bach Article (2007)
Consistency of trace norm minimization Francis Bach Article (2007)
Constrained hidden Markov models for population-based haplotyping Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen and Heikki Mannila Article (2007)
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts Giorgos Petkos and Sethu Vijayakumar Conference or Workshop Item (2007)
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Covariate shift adaptation by importance weighted cross validation Masashi Sugiyama, Matthias Krauledat and Klaus-Robert Müller Article Item availablity restricted. (2007)
Cross-mining binary and numerical attributes Gemma Garriga, Hannes Heikinheimo and Jouni Seppänen Conference or Workshop Item (2007)
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Dimensionality reduction and generalization Sofia Mosci, Lorenzo Rosasco and Alessandro Verri Conference or Workshop Item Item not available online. (2007)
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Effective resistance of random trees Louigi Addario-Berry, Nicolas Broutin and Gábor Lugosi Article Item not available online. (2007)
Efficient algorithms for max-margin structured classification Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Book Section Item not available online. (2007)
Estimating the domain of applicability for machine learning qsar rmodels: A study on aqueous solubility of drug discovery molecules Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich and Klaus-Robert Müller Article Item not available online. (2007)
Evolutionary search for the artistic rendering of photographs John Collomosse Book Section (2007)
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Fast Kernel ICA using an Approximate Newton Method Hao Shen, stefanie jegelka and Arthur Gretton Conference or Workshop Item Item not available online. (2007)
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Fast learning rates for plug-in classifiers. Jean-Yves Audibert and Alexandre Tsybakov Article (2007)
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Frequency assignment - case study. Part II, Computational results Igor Pesek, Iztok Saje and Janez Žerovnik Conference or Workshop Item Item not available online. (2007)
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Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article Item not available online. (2007)
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Glycan classification with tree kernels Yoshihiro Yamanishi, Francis Bach and Jean-Philippe Vert Article Item not available online. (2007)
Graph Kernels for Molecular and Reduced Graphs Craig Saunders and Anthony Demco Conference or Workshop Item (2007)
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Image segmentation by polygonal Markov fields. R Kluszczy\'nski, M.N.M. van Lieshout and T. Schreiber Article Item not available online. (2007)
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Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Christian Walder, Bernhard Schölkopf and Olivier Chapelle Conference or Workshop Item (2007)
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Inference in the Promedas medical expert system Bastian Wemmenhove, Joris Mooij, Wim Wiegerinck, Martijn Leisink, Bert Kappen and Jan P Neijt Book Section (2007)
Inference in the promedas medical expert system Bastian Wemmenhove, Joris Mooij, Wim Wiegerinck, Martijn Leisink, Bert Kappen and J. Neijt Conference or Workshop Item (2007)
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Kernel methods in genomics and computational biology Jean-Philippe Vert Book Section Item not available online. (2007)
Kernels for Strings and Graphs Craig Saunders and Anthony Demco Book Section Item not available online. (2007)
Kernels for Strings and Graphs Craig Saunders and Anthony Demco Book Section Item not available online. (2007)
L1-Norm Regularization Path for Sparse Semi-Supervised Laplacian SVM Gilles Gasso, Karina Zapien and Stéphane Canu Article Item not available online. (2007)
Large Scale Hidden Semi-Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item Item not available online. (2007)
Learning Balls of Strings: A Horizontal Analysis Colin de la Higuera, Jean-Christophe Janodet and Frédéric Tantini Monograph Item availablity restricted. (2007)
Learning Dense 3D Correspondence Florian Steinke, Bernhard Schölkopf and Volker Blanz Conference or Workshop Item Item availablity restricted. (2007)
Learning from relevant tasks only Samuel Kaski and Jaakko Peltonen Book Section Item not available online. (2007)
Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection David Grangier and Samy Bengio Conference or Workshop Item (2007)
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Machine learning models for lipophilicity and their domain of applicability Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich and Klaus-Robert Müller Article Item not available online. (2007)
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More Efficiency in Multiple Kernel Learning Alain Rakotomamonjy, Francis Bach, Yves Grandvalet and Stéphane Canu Conference or Workshop Item Item not available online. (2007)
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Predicting lipophilicity of drug discovery molecules using gaussian process models Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich and Klaus-Robert Müller Article Item not available online. (2007)
Predicting Structured Data G.H. BakIr, T. Hofmann, B. Schölkopf, A.J. Smola, B. Taskar and S.V.N. Vishwanathan Book Item not available online. (2007)
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Probabilistic modeling and machine learning in structural and systems biology Samuel Kaski, Juho Rousu and Esko Ukkonen Other Item not available online. (2007)
Progressive mixture rules are deviation suboptimal Jean-Yves Audibert Conference or Workshop Item Item not available online. (2007)
Projective non-negative matrix factorization with applications to facial image processing Zhirong Yang, Zhijian Yuan and Jorma Laaksonen Article Item not available online. (2007)
Pseudometrics for State Aggregation in Average Reward Markov Decision Processes Ronald Ortner Book Section Item not available online. (2007)
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Supervised Feature Selection via Dependence Estimation Le Song, Alex Smola, Arthur Gretton, karsten borgwardt and Justin Bedo Conference or Workshop Item Item not available online. (2007)
Supervised Reconstruction of Biological Networks with Local Models Kevin Bleakley, Gérard Biau and Jean-Philippe Vert Article Item not available online. (2007)
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Task encoding, motion planning and intelligent control using qualitative models Subramanian Ramamoorthy Thesis Item not available online. (2007)
The cost of learning directed cuts Thomas Gaertner and Gemma Garriga Conference or Workshop Item (2007)
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The likelihood ratio test for general mixture models with possibly unknown structural parameter. Elisabeth Gassiat, J.-M. Azais and C. Mercadier Article (2007)
The Minimum Description Length Principle Peter Grünwald Book Item not available online. (2007)
The online shortest path problem under partial monitoring Andras Gyorgy, Tamas Linder, Gábor Lugosi and Gyorgy Ottucsak Article Item not available online. (2007)
The self-organizing map as a visual information retrieval method Kristian Nybo, Jarkko Venna and Samuel Kaski Book Section (2007)
Tighter PAC-Bayes Bounds Amiran Ambroladze, Emilio Parrado-Hernandez and John Shawe-Taylor Article Item availablity restricted. (2007)
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Tolerance-based greedy algorithms for the traveling salesman problem. D. Ghosh, B. Goldengorin, G. Gutin and G. Jaeger Article (2007)
Training Invariant Support Vector Machines using Selective Sampling Stéphane Canu, Leon Bottou and Stéphane Canu Book Section Item not available online. (2007)
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Tuning Bandit Algorithms in Stochastic Environments Jean-Yves Audibert, Remi Munos and Csaba Szepesvari Conference or Workshop Item Item not available online. (2007)
Undercomplete blind subspace deconvolution via linear prediction Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2007)
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell and Sethu Vijayakumar Conference or Workshop Item (2007)
Variational Inference for Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Article (2007)
Video segmentation and shot boundary detection using self-organizing maps. Hannes Muurinen and Jorma Laaksonen Conference or Workshop Item Item not available online. (2007)
Virtual Communities as Narrative Processes Marco Benini and Federico Gobbo Conference or Workshop Item Item not available online. (2007)
Weak reconstruction of strong product graphs Blaž Zmazek and Janez Žerovnik Article Item not available online. (2007)
`Ideal learning' of natural language: positive results about learning from positive evidence Nick Chater and Paul Vitányi Article (2007)
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Variational Bayes for Continuous-Time Nonlinear State-Space Models Antti Honkela, Matti Tornio and Tapani Raiko Conference or Workshop Item (09 December 2006)
Modelling transcriptional regulation using Gaussian processes Neil Lawrence, Guido Sanguinetti and Magnus Rattray Conference or Workshop Item (05 December 2006)
Bayesian Inference in Nonlinear and Relational Latent Variable Models Tapani Raiko Thesis (01 December 2006)
A Least Squares Q-Learning Algorithm for Optimal Stopping Problems Huizhen Yu and Dimitri Bertsekas Monograph Item availablity restricted. (December 2006)
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems David Barber and Bertrand Mesot Conference or Workshop Item (December 2006)
Exploration exploitation in Go: UCT for Monte-Carlo Go Sylvain Gelly and Yizao Wang Conference or Workshop Item (December 2006)
New Methods in Machine Learning: Theory and Applications Book Item not available online. (December 2006)
Probabilistic inference for solving (PO)MDPs Marc Tousaint, Stefan Harmeling and Amos Storkey Monograph (December 2006)
Probabilistic inference for solving (PO)MDPs Marc Toussaint, Stefan Harmeling and Amos Storkey Monograph (December 2006)
Redundancy of the Context-tree Weighting Method on Renewal and Markov Renewal Processes Aurelien Garivier Article (December 2006)
The Evolution of Mammalian Gene Families Jeffery Demuth, Tijl De Bie, Jason Stajich, Nello Cristianini and Matthew Hahn Article Item not available online. (December 2006)
Context methods and infinite alphabets in information theory Aurelien Garivier Thesis (23 November 2006)
Pascal Workshop, Complex Objects Visualization 2005 - COV2005, Proceedings Tomaž Pisanski, Boris Horvat, Janez Žerovnik, Dunja Mladenić, Marko Grobelnik, Tina Anžič and Smiljana Škvarč Book Item not available online. (23 November 2006)
Learning Balls from Correction Queries Leonor Becerra Bonache, Colin de la Higuera, Jean-Christophe Janodet and Frédéric Tantini Conference or Workshop Item (20 November 2006)
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Antonius ter Laak, Detlev Suelzle and Nikolaus Heinrich Conference or Workshop Item Item availablity restricted. (13 November 2006)
Approximation Methods for Gaussian Process Regression Joaquin Quinonero Candela, Carl Edward Rasmussen and Christopher Williams Book Section Item not available online. (09 November 2006)
Prediction on a Graph with a Perceptron Mark Herbster and Massimiliano Pontil Conference or Workshop Item (05 November 2006)
An efficient alternative to SVM based recursive feature elimination with applications in natural language processing and bioinformatics Justin Bedo, Conrad Sanderson and Adam Kowalczyk Book Section (November 2006)
Discriminative Learning can Succeed where Generative Learning Fails Phil Long, Rocco Servedio and Hans Simon Article Item availablity restricted. (November 2006)
Inférence grammaticale de langages hors-contextes Rémi Eyraud Thesis (November 2006)
Parametrization and computations in shape spaces with area and boundary invariants Subramanian Ramamoorthy, Benjamin Kuipers and Lothar Wenzel Conference or Workshop Item (November 2006)
Sequence Mining Without Sequences: a New Way for Privacy Preserving Stéphanie Jacquemont, François Jacquenet and Marc Sebban Conference or Workshop Item Item availablity restricted. (November 2006)
Locality helps sleep scheduling Jukka Suomela Conference or Workshop Item (31 October 2006)
Graph embedding using tree edit-union. Andrea Torsello and Edwin Hancock Article Item not available online. (30 October 2006)
Fast discriminative component analysis for comparing examples Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item Item availablity restricted. (26 October 2006)
Higher order statistics in play-out analysis Tapani Raiko Conference or Workshop Item (25 October 2006)
A Framework for Probability Density Estimation John Shawe-Taylor and Alexander N. Dolia Conference or Workshop Item (18 October 2006)
The Value of Observation for Monitoring Dynamic Systems Eyal Even-Dar, Sham Kakade and Yishay Mansour Conference or Workshop Item (16 October 2006)
Hierarchical text categorization using coding matrices Janez Brank, Dunja Mladenić and Marko Grobelnik Conference or Workshop Item (09 October 2006)
Loose Phrase String Kernels Janez Brank Conference or Workshop Item (09 October 2006)
Nature-Inspiration on Kernel Machines: Data Mining for Continuous and Discrete Variables Francisco Ruiz, Cecilio Angulo and Núria Agell Article Item availablity restricted. (09 October 2006)
Variational Bayesian Approach for Nonlinear Identification and Control Matti Tornio and Tapani Raiko Conference or Workshop Item (09 October 2006)
Hannan consistency in on-line learning in case of unbounded losses under partial monitoring Chamy Allenberg, Peter Auer, Laszlo Györfi and György Ottucsak Article Item not available online. (07 October 2006)
Kalman Filters and Adaptive Windows for Learning in Data Streams Albert Bifet and Ricard Gavaldà Conference or Workshop Item Item availablity restricted. (07 October 2006)
Spectral Norm in Learning Theory: Some Selected Topics Hans Simon Article (06 October 2006)
A comparison of two heuristics for building initial schedule for resource-constrained project scheduling problem Igor Pesek and Janez Žerovnik Conference or Workshop Item Item not available online. (October 2006)
Active Learning in the Non-realizable Case Matti Kääriäinen Conference or Workshop Item (October 2006)
Approximating relay placement in sensor networks Jukka Suomela Conference or Workshop Item Item availablity restricted. (October 2006)
Auto-setting the SVM hyper-parameters using regularization paths Gaëlle Loosli and Stéphane Canu Conference or Workshop Item Item not available online. (October 2006)
Band Selection for Hyperspectral Image Classification using Mutual Information Baofeng Guo, Steve Gunn, Bob Damper and James Nelson Article Item not available online. (October 2006)
Complexity of the Minimum Cost Homomorphism Problem for Semicomplete Digraphs with Possible Loops EJ Kim and G Gutin Article (October 2006)
Conditional Random Fields for Online Handwriting Recognition T-M-T Do and T Artières Conference or Workshop Item (October 2006)
Consistency of the unlimited BIC Context Tree Estimator Aurelien Garivier Article (October 2006)
Dynamic Path Planning for a 7-DOF Robot Arm Stefan Klanke, Dimitry Lebedev, Robert Haschke, Jochen Steil and Helge Ritter Conference or Workshop Item Item not available online. (October 2006)
How Many Query Superpositions Are Needed to Learn? Jorge Castro Book Section (October 2006)
Itemset Support Queries using Frequent Itemsets and Their Condensed Representations Taneli Mielikäinen, Pance Panov and Saso Dzeroski Conference or Workshop Item (October 2006)
Maximal width learning of binary functions Martin Anthony and Joel Ratsaby Article Item not available online. (October 2006)
Modeling on-line handwriting using pairwise relational features R Sicard, T Artières and E Petit Conference or Workshop Item (October 2006)
On the Complexity of Working Set Selection Hans Simon Article Item availablity restricted. (October 2006)
On the generalization error of fixed combinations of classifiers Martin Anthony Article Item not available online. (October 2006)
Superior Multi-class Classification through Margin-Optimized Single Binary Problem Ran El-Yaniv, Dmitry Pechyony and Elad Yom-Tov Article (October 2006)
Support Vector Machines for color adjustment in automotive basecoat Francisco Ruiz, Cecilio Angulo and Núria Agell Book Section Item not available online. (October 2006)
Variational Bayesian analysis for hidden Markov models Clare Anne McGrory and Mike Titterington Article (October 2006)
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path András Antos, Csaba Szepesvari and Rémi Munos Book Section Item availablity restricted. (29 September 2006)
Planar Languages and Learnability Alexander Clark, Christophe Costa Florencio, Chris Watkins and Mariette Serayet Conference or Workshop Item Item not available online. (25 September 2006)
Closed sets for labeled data Gemma C. Garriga, Petra Kralj and Nada Lavrac Conference or Workshop Item Item availablity restricted. (18 September 2006)
Intersection Algorithms and a Closure Operator on Unordered Trees José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item (18 September 2006)
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces Alexander Dolia, Tijl De Bie, Chris Harris, John Shawe-Taylor and Mike Titterington Conference or Workshop Item (18 September 2006)
A Selective Sampling Strategy for Label Ranking Massih Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse and Patrick Gallinari Conference or Workshop Item (17 September 2006)
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle and Nikolaus Heinrich Conference or Workshop Item (12 September 2006)
Nearly optimal exploration-exploitation decision thresholds Christos Dimitrakakis Conference or Workshop Item (12 September 2006)
Basics of Bayesian Learning - Basically Bayes Jan Larsen Conference or Workshop Item (08 September 2006)
Basics of bayesian learning - basically bayes Jan Larsen Conference or Workshop Item (08 September 2006)
Computational aspects of feedback in neural circuits Wolfgang Maass, Prashant Joshi and E. D. Sontag Article Item not available online. (06 September 2006)
Generic and Typical Ranks of Three-Way Arrays Pierre Comon and Jos ten Berge Monograph Item availablity restricted. (04 September 2006)
Analysis of Fast Input Selection: Application in Time Series Prediction Jarkko Tikka, Amaury Lendasse and Jaakko Hollmen Book Section Item availablity restricted. (01 September 2006)
Long-Term Prediction of Time Series Using State-Space Models Elia Liitiäinen and Amaury Lendasse Book Section Item availablity restricted. (01 September 2006)
A Discriminative Model of Stochastic Edit Distance in the form of a Conditional Transducer Marc Bernard, Jean-Christophe Janodet and Marc Sebban Conference or Workshop Item Item not available online. (September 2006)
An algorithm for a real vehicle routing problem with time constraints Blaž Zmazek Article Item not available online. (September 2006)
Analysis of Fast Input Selection: Application in Time Series Prediction Jarkko Tikka, Amaury Lendasse and Jaakko Hollmen Conference or Workshop Item Item availablity restricted. (September 2006)
Analytical travel time models for multi aisle automated storage and retrieval systems Blaž Zmazek, Janez Kramberger, Matej Borovinšek, Iztok Potrč, Tone Lehrer and Matjaž Šraml Article Item not available online. (September 2006)
Approximation classes for real number optimization problems Klaus Meer and Uffe Flarup Conference or Workshop Item (September 2006)
Bandit based monte-carlo planning L Kocsis and Csaba Szepesvari Conference or Workshop Item Item not available online. (September 2006)
Best insertion algorithm for resource constrained project scheduling problem Igor Pesek and Janez Žerovnik Conference or Workshop Item Item not available online. (September 2006)
Blind Identification of Under-Determined Mixtures based on the Characteristic Fucntion Pierre Comon and Myriam Rajih Article Item availablity restricted. (September 2006)
Collapsibility in Infinite-Domain Quantified Constraint Satisfaction. Hubert Ming Chen and Manuel Bodirsky Conference or Workshop Item Item not available online. (September 2006)
Efficient variant of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound. Petr Tichavsky, Zbynek Koldovski and Erkki Oja Article Item not available online. (September 2006)
Generative models that discover dependencies between data sets Arto Klami and Samuel Kaski Conference or Workshop Item (September 2006)
Importance-Weighted Cross-Validation for Covariate Shift Masashi Sugiyama, Benjamin Blankertz, Matthias Krauledat, Guido Dornhege and Klaus-Robert Müller Article (September 2006)
Learning and clean-up in a large scale music database Lars Kai Hansen, Tue Lehn-Schiøler, T Petersen, J Arenas-Garcia, Jan Larsen and S Jensen Article Item not available online. (September 2006)
On some simple heuristics for combinatorial optimization Janez Žerovnik Conference or Workshop Item Item not available online. (September 2006)
On the OBDD Size for Graphs of Bounded Tree- and Clique-Width Klaus Meer and Dieter Rautenbach Conference or Workshop Item (September 2006)
Online Classification for Complex Problems Using Simultaneous Projections Yonatan Amit, Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (September 2006)
PAC-learning of Markov models with hidden state Ricard Gavaldà, Philipp W. Keller, Joelle Pineau and Doina Precup Conference or Workshop Item Item not available online. (September 2006)
Proceedings of IEEE Machine Learning for Signal Processing Workshop XVI Book Item not available online. (September 2006)
Semi-Supervised Learning Book Item not available online. (September 2006)
Signal Theory for SVM Kernel Parameter Estimation James Nelson, Bob Damper, Steve Gunn and Baofeng Guo Conference or Workshop Item Item not available online. (September 2006)
Sparse Feature Extraction using Generalised Partial Least Squares Charanpal Dhanjal, Steve Gunn and John Shawe-Taylor Conference or Workshop Item Item not available online. (September 2006)
The Discrete Basis Problem Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das and Heikki Mannila Conference or Workshop Item (September 2006)
Modeling Energy Constrained Routing in Selfish Ad Hoc Networks Petteri Nurmi Conference or Workshop Item Item availablity restricted. (26 August 2006)
Majority constraints have bounded pathwidth duality Victor Dalmau and Andrei Krokhin Article (10 August 2006)
Towards the Inference of Graphs on Ordered Vertices Alexander Zien, Gunnar Raetsch and Cheng Soon Ong Other (07 August 2006)
Aggregating Time Partitions Taneli Mielikäinen, Evimaria Terzi and Panayiotis Tsaparas Conference or Workshop Item Item not available online. (August 2006)
Algorithms for Discovering Bucket Orders from Data Aristides Gionis, Heikki Mannila, Kai Puolamäki and Antti Ukkonen Conference or Workshop Item (August 2006)
Assessing data mining results via swap randomization Aristides Gionis, Heikki Mannila, Taneli Mielikäinen and Panayiotis Tsaparas Conference or Workshop Item (August 2006)
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor Nicolas Delannay, Cedric Archambeau and Michel Verleysen Conference or Workshop Item (August 2006)
Brisk Kernel ICA S Jegelka and Arthur Gretton Book Section Item not available online. (August 2006)
Cryptographically Private Support Vector Machines Sven Laur, Helger Lipmaa and Taneli Mielikäinen Conference or Workshop Item (August 2006)
A Riemannian approach to graph embedding Antonio Robles-Kelly and Edwin Hancock Article Item not available online. (20 July 2006)
Integrating structured biological data by Kernel Maximum Mean Discrepancy K Borgwardt, Arthur Gretton, M Rasch, H.-P. Kriegel, Bernhard Schölkopf and Alex Smola Article (15 July 2006)
Stochastic optimal control in continuous space-time multi-agent systems Wim Wiegerinck, Bart Broek and Bert Kappen Conference or Workshop Item Item not available online. (15 July 2006)
PAC-learning unambiguous NTS languages Alexander Clark Conference or Workshop Item Item not available online. (12 July 2006)
PAC Classification based on PAC Estimates of Label Class Distributions Nick Palmer and Paul Goldberg Monograph (11 July 2006)
10 open problems in grammatical inference Colin de la Higuera Conference or Workshop Item Item availablity restricted. (08 July 2006)
A new constructive algorithm for creating all linearly separable (threshold) functions Leonardo Franco, Jose Luis Subirats, Martin Anthony and Jose Jerez Conference or Workshop Item Item not available online. (July 2006)
Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems Tijl De Bie and Nello Cristianini Article Item not available online. (July 2006)
Integrating structured biological data by Kernel Maximum Mean Discrepancy Karsten M. Borgwardt, Arthur Gretton, Malte Rasch, Hans-Peter Kriegel, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (July 2006)
Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment Book Item not available online. (July 2006)
Minimum Cost Homomorphisms to Semicomplete Bipartite Digraphs G Gutin, A Rafiey and A Yeo Article (July 2006)
Optimization and approximation problems related to polynomial system solving Klaus Meer Conference or Workshop Item (July 2006)
Performance Prediction Challenge Isabelle Guyon, Amir Saffari, Gideon Dror and Joachim Buhmann Conference or Workshop Item (July 2006)
Semi-Supervised Model Selection Based on Cross-Validation Matti Kääriäinen Conference or Workshop Item (July 2006)
Stochastic optimal control in continuous space-time multi-agent systems Wim Wiegerinck, Bart Broek and Bert Kappen Conference or Workshop Item (July 2006)
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Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition Ron Begleiter and Ran El-Yaniv Article (July 2006)
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Closed Sets for Labeled Data Gemma Casas-Garriga, Petra Kralj and Nada Lavrac Article (30 June 2006)
Efficient algorithms for max-margin structured classification Craig Saunders, Sandor Szedmak, John Shawe-Taylor and Juho Rousu Book Section Item availablity restricted. (30 June 2006)
Online multitask learning Ofer Dekel, Yoram Singer and Philip Long Conference or Workshop Item (26 June 2006)
Kernelizing the output of tree-based methods Pierre Geurts, Louis Wehenkel and Florence d'Alché-Buc Conference or Workshop Item (25 June 2006)
Active Sampling for Multiple Output Identification Shai Fine and Yishay Mansour Conference or Workshop Item (22 June 2006)
Completion of biological networks: the output kernel tree approach Pierre Geurts, Nizar Touleimat, Marie Dutreix and Florence d'Alché-Buc Conference or Workshop Item (17 June 2006)
Probabilistic Modeling and Machine Learning in Structural and Systems Biology Book Item not available online. (15 June 2006)
Comparing classification results between N-ary and binary problems Mary Felkin Book Section Item availablity restricted. (14 June 2006)
Gaussian Process Approximations of Stochastic Differential Equations Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Conference or Workshop Item (13 June 2006)
(In)Stability Properties of Limit Order Dynamics Eyal Even-Dar, Sham Kakade, Mchael Kearns and Yishay Mansour Conference or Workshop Item (11 June 2006)
Teaching machine learning from examples Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick Pletscher, Georg Schneider and Markus Uhr Article (11 June 2006)
Step Size Adaptation in Reproducing Kernel Hilbert Space S V N Vishwanathan, Nicol Schraudolph and Alex Smola Article Item not available online. (June 2006)
A Choice Model with Infinitely Many Latent Features Dilan Gorur, Frank Jäkel and Carl Edward Rasmussen Book Section (June 2006)
A Kernel Method for the Two-Sample-Problem Arthur Gretton, K Borgwardt, M Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (June 2006)
A new lower-bound for the maximin redundancy in pattern coding Aurelien Garivier Article (June 2006)
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification Yves Grandvalet, Johnny Mariéthoz and Samy Bengio Conference or Workshop Item (June 2006)
A Sufficient Condition for Truthfulness with Single Parameter Agents Nir Andelman and Yishay Mansour Conference or Workshop Item (June 2006)
Analysis and Classification of EEG Signals using Probabilistic Models for Brain Computer Interfaces Silvia Chiappa Thesis Item not available online. (June 2006)
CN=CPCN Liva Ralaivola, François Denis and Christophe N. Magnan Conference or Workshop Item Item availablity restricted. (June 2006)
Convex Repeated Games and Fenchel Duality Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (June 2006)
Convex Repeated Games and Fenchel Duality Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item Item not available online. (June 2006)
Convex Repeated Games and Fenchel Duality Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item Item not available online. (June 2006)
Correcting Sample Selection Bias by Unlabeled Data J. Huang, Alex Smola, Arthur Gretton, K Borgwardt and Bernhard Schölkopf Conference or Workshop Item Item not available online. (June 2006)
Discriminative Kernel-Based Phoneme Sequence Recognition Joseph Keshet, Shai Shalev-Shwartz, Samy Bengio, Yoram Singer and Dan Chazan Monograph (June 2006)
Efficient learning of naive Bayes classifiers under class-conditional classification noise François Denis, Christophe N. Magnan and Liva Ralaivola Conference or Workshop Item Item not available online. (June 2006)
Extending an algorithm for clustering gene expression time series Mikko Korpela and Jaakko Hollmen Conference or Workshop Item Item availablity restricted. (June 2006)
Generic Properties of Symmetric Tensors Pierre Comon Conference or Workshop Item Item availablity restricted. (June 2006)
Independent Component Analysis viewed as a Tensor Decomposition Pierre Comon Conference or Workshop Item Item not available online. (June 2006)
Large Scale Semi Hidden Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item (June 2006)
Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Carnegie Mellon University, Pittsburgh, Pennsylvania, June 22-25, 2006, Proceedings Book (June 2006)
Local distance preservation in the GP-LVM through back constraints Neil Lawrence and Joaquin Quinonero Candela Conference or Workshop Item (June 2006)
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning Peter Auer and Ronald Ortner Book Section Item not available online. (June 2006)
Mixture regression for covariate shift Amos Storkey and Masashi Sugiyama Article Item not available online. (June 2006)
Multi-system Biometric Authentication: Optimal Fusion and User-Specific Information Norman Poh Thesis (June 2006)
Personalized Handwriting Recognition via Biased Regularization Wolf Kienzle and Kumar Chellapilla Conference or Workshop Item (June 2006)
Predictive Search Distributions Edwin Bonilla, Christopher Williams, Felix Agakov, John Cavazos, John Thomson and Michael O'Boyle Conference or Workshop Item (June 2006)
Robust Probabilistic Projections Cedric Archambeau, Nicolas Delannay and Michel Verleysen Conference or Workshop Item (June 2006)
Second order properties in semiparametrics and applications Ismael Castillo Thesis (June 2006)
Stable transductive learning Ran El-Yaniv and Dmitry Pechyony Conference or Workshop Item (June 2006)
Tagging of name records for genealogical data browsing Mike Perrow and David Barber Conference or Workshop Item (June 2006)
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models David Barber and Silvia Chiappa Conference or Workshop Item Item not available online. (June 2006)
Source Separation for Hearing Aid Applications Michael Syskind Pedersen Thesis Item not available online. (31 May 2006)
Identification in the limit of systematic noisy languages Frédéric Tantini, Colin de la Higuera and Jean-Christophe Janodet Conference or Workshop Item Item availablity restricted. (27 May 2006)
Online Trading Algorithms and Robust Option Pricing Peter De Marzo, Ilan Kremer and Yishay Mansour Conference or Workshop Item (21 May 2006)
Subspace, Latent Structure and Feature Selection, Statistical and Optimization Perspectives Book Item not available online. (20 May 2006)
Inferring transcriptional module networks from ChIP-chip-, motif- and microarray data Karen Lemmens, Thomas Dhollander, Tijl De Bie, Pieter Monsieurs, Kristof Engelen, Joris Winderickx, Bart De Moor and Kathleen Marchal Article Item not available online. (05 May 2006)
Languages as Hyperplanes: grammatical inference with string kernels Alexander Clark, Christophe Costa Florencio and Chris Watkins Conference or Workshop Item Item not available online. (03 May 2006)
Frequency-Based Views to Pattern Collections Taneli Mielikäinen Article (01 May 2006)
A new PAC bound for intersection-closed concept classes Peter Auer and Ronald Ortner Article (May 2006)
Challenge Learning Object Package (CLOP). Quickstart guide. Isabelle Guyon and Amir Saffari Other (May 2006)
Consistency and convergence rates of one-class SVMs and related algorithms Regis Vert and Jean-Philippe Vert Article Item not available online. (May 2006)
Genericity and Rank Deficiency of High Order Symmetric Tensors Pierre Comon, Bernard Mourrain, Lek-Heng Lim and Gene Golub Conference or Workshop Item (May 2006)
Outlier Detection in Benchmark Classification Tasks Hongyu Li and Mahesan Niranjan Conference or Workshop Item Item not available online. (May 2006)
Revisiting Doddington’s Zoo: A Systematic Method to Assess User-Dependent Variabilities Norman Poh, Arun Ross and Samy Bengio Conference or Workshop Item (May 2006)
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The Influence of Oppositely Classified Examples on the Generalization Complexity of Boolean Functions Leonardo Franco and Martin Anthony Article Item not available online. (May 2006)
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EM-algorithm for training of state-space models with application to time series prediction Elia Liitiäinen, Nima Reyhani and Amaury Lendasse Conference or Workshop Item (26 April 2006)
LS-SVM functional network for time series prediction Tuomas Kärnä, Fabrice Rossi and Amaury Lendasse Conference or Workshop Item (26 April 2006)
Synthesis of Maximum Margin and Multiview Learning using Unlabeled Data Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item Item not available online. (26 April 2006)
Time series prediction using DirRec strategy Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item (26 April 2006)
Optimal filtering of dynamics in short-time features for music organization Jeronimo Arenas-Garcia, Jan Larsen, Lars Kai Hansen and Anders Meng Conference or Workshop Item Item availablity restricted. (24 April 2006)
Learning Deterministic Context Free Grammars: The Omphalos Competition Alexander Clark Article Item not available online. (13 April 2006)
Discriminative Kernel-Based Phoneme Sequence Recognition Joseph Keshet, Shai Shalev-Shwartz, Samy Bengio, Yoram Singer and Dan Chazan Conference or Workshop Item Item availablity restricted. (07 April 2006)
Discriminative MCMC Kai Puolamäki, Jarkko Salojärvi, Eerika Savia and Samuel Kaski Conference or Workshop Item (04 April 2006)
Two-microphone Separation of Speech Mixtures Michael Syskind Pedersen, DeLiang Wang, Jan Larsen and Ulrik Kjems Article Item not available online. (02 April 2006)
A Feature Selection Methodology for Steganalysis Yoan Miche, Benoit Roue, Amaury Lendasse and Patrick Bas Book Section Item availablity restricted. (01 April 2006)
Multi-agent causal models for dependability analysis Sam Maes and Philippe Leray Conference or Workshop Item Item availablity restricted. (April 2006)
Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation Mikkel Schmidt and Morten Mørup Article (April 2006)
On a new correlation coefficient, its orthogonal decomposition and associated tests of independence Wicher Bergsma Article (April 2006)
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Online Passive-Aggressive Algorithms Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz and Yoram Singer Article (March 2006)
Separating Underdetermined Convolutive Speech Mixtures Michael Pedersen, DeLiang Wang, Jan Larsen and Ulrik Kjems Conference or Workshop Item Item not available online. (March 2006)
Unified characterization of symmetric dependencies with lattices. Jaume Baixeries and José Balcázar Conference or Workshop Item Item availablity restricted. (13 February 2006)
Visualizing Caushy's interlacing property for line distance matrices Tomaž Pisanski, Gašper Jaklic and Milan Randić Conference or Workshop Item Item not available online. (09 February 2006)
Multi-classification by using tri-class svm Cecilio Angulo, Francisco Ruiz, Luis Gonzalez and Juan Antonio Ortega Article Item not available online. (February 2006)
Semantic Models for Machine Learning David Hardoon Thesis (February 2006)
Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods Kai Puolamäki, Mikael Fortelius and Heikki Mannila Article Item not available online. (February 2006)
Some Discriminant-based PAC Algorithms Paul Goldberg Article (February 2006)
Contour evolution scheme for variational image segmentation and smoothing Sasan Mahmoodi and Bayan Sharif Article Item not available online. (24 January 2006)
Geometrical-based algorithm for variational segmentation and smoothing of vector-valued images Sasan Mahmoodi and Bayan Sharif Article Item not available online. (24 January 2006)
On Nash Equilibria for a Network Creation Game Susanne Albers, Stefan Eilts, Eyal Even-Dar, Yishay Mansour and Liam Roditty Conference or Workshop Item (22 January 2006)
Uniform convergence of adaptive graph-based regularization Matthias Hein Article Item availablity restricted. (22 January 2006)
On the smallest possible dimension and the largest possible margin of linear arrangements representing given concept classes Juergen Forster and Hans Simon Article Item not available online. (18 January 2006)
Learning via Linear Operators: Maximum Margin Regression Sandor Szedmak, John Shawe-Taylor and Emilio Parado-Hernandez Monograph (10 January 2006)
Neural networks and machine learning in bioinformatics - theory and applications Udo Seiffert, Barbara Hammer, Samuel Kaski and Thomas Villmann Conference or Workshop Item Item not available online. (08 January 2006)
Strong Price of Anarchy Nir Andelman, Michal Feldman and Yishay Mansour Conference or Workshop Item (07 January 2006)
Variational Approximations in Bayesian Model Selection for Finite Mixture Distributions Clare Anne McGrory and Mike Titterington Article (05 January 2006)
CLASS PREDICTION FROM TIME SERIES GENE EXPRESSION PROFILES USING DYNAMICAL SYSTEMS KERNELS Karsten Borgwardt, S V N Vishwanathan and Hans-Peter Kriegel Conference or Workshop Item (03 January 2006)
Discretization Error Analysis for Tikhonov Regularization de vito ernesto, rosasco lorenzo and caponnetto andrea Article Item not available online. (January 2006)
In Search of Non-Gaussian Components of a High-Dimensional Distribution Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny and Klaus-Robert Müller Article (January 2006)
Jammer suppression in DS-CDMA arrays using independent component analysis Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen and Erkki Oja Article Item not available online. (January 2006)
Machine Learning Can Improve Prediction of Severity in Acute Pancreatitis using Admission Values of APACHE II Score and C-Reactive Protein. Callum Pearce, Steve Gunn, Adil Ahmed and Colin Johnson Article Item not available online. (January 2006)
On Regularization Algorithms in Learning Theory f. bauer, s. pereverzev and l. rosasco Article Item not available online. (January 2006)
Rule-based learning systems for support vector machines Haydemar Nuñez, Cecilio Angulo and Andreu Catala Article Item not available online. (January 2006)
Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees Mika Sulkava, Jarkko Tikka and Jaakko Hollmen Article Item availablity restricted. (January 2006)
Two logical hierarchies of optimization problems over the real numbers Klaus Meer and Uffe Flarup Article Item availablity restricted. (January 2006)
On the information and representation of non-euclidean pairwise data J Laub, Volker Roth, Joachim Buhmann and Klaus-Robert Müller Article Item not available online. (2006)
Pattern Recognition: Proceedings of DAGM 2006 Book Item not available online. (2006)
Probabilistic inference for solving discrete and continuous state Markov Decision Processes Marc Toussaint and Amos Storkey Article (2006)
Probabilistic inference for solving discrete and continuous state Markov Decision Processes Marc Toussaint and Amos Storkey Article (2006)
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A Boolean Measure of Similarity Martin Anthony and Peter Hammer Article Item not available online. (2006)
A Classification EM Algorithm for Binned Data Allou Samé, Christophe Ambroise and Gérard Govaert Article Item not available online. (2006)
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A distributed voting scheme to maximize preferences Peter Auer and Nicolò Cesa-Bianchi Article Item not available online. (2006)
A J-function for marked point patterns Marie-Colette van Lieshout Article Item not available online. (2006)
A Large Margin Algorithm for Speech and Audio Segmentation Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan Article Item availablity restricted. (2006)
A novel dimension reduction procedure for searching non-gaussian subspaces. Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny and Klaus-Robert Müller Conference or Workshop Item Item availablity restricted. (2006)
A pragmatic Bayesian approach to predictive uncertainty Iain Murray and Ed Snelson Book Section Item not available online. (2006)
A Simple Algorithm for Mal'tsev Constraints Victor Dalmau and Andrei Bulatov Article (2006)
A Simultaneous Deterministic Perturbation Actor-Critic Algorithm with an Application to Optimal Mortgage Refinancing CVL Raju and S Bhatnagar Conference or Workshop Item Item not available online. (2006)
A Sober Look on Clustering Stability Shai Ben-David, David Pal and Ulrike v. Luxburg Conference or Workshop Item Item not available online. (2006)
A Supervised Discretization Method for Quantitative and Qualitative Ordered Variables Francisco Ruiz, Cecilio Angulo and Núria Agell Article Item not available online. (2006)
A Taxonomy for Semi-Supervised Learning Methods matthias seeger Book Section Item not available online. (2006)
Adaptive regularization of noisy linear inverse problems Lars Kai Hansen, Tue Lehn-Schiøler and K. H Madsen Article Item not available online. (2006)
Advances in Neural Information Processing Systems 18. Proceedings of the 2005 Conference Book Item not available online. (2006)
Algorithmic Rate Distortion Function N.K. Vereshchagin and Paul Vitányi Conference or Workshop Item Item not available online. (2006)
An improved gradient projection-based decomposition technique for support vector machines Luca Zanni Article (2006)
An introduction to feature extraction Isabelle Guyon and Andre Elisseeff Book Section (2006)
An optimal message routing algorithm for circulant networks Tomaž Dobravec, Janez Žerovnik and Borut Robič Article Item not available online. (2006)
Analyzing a sustainability indicator by means of qualitative kernels Cecilio Angulo, Luis Gonzalez, Francisco Ruiz, Andreu Catala, Francisco Velasco and Nuria Agell Book Section Item not available online. (2006)
Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction Guido Nolte, Andreas Ziehe, Frank Meinecke and Klaus-Robert Müller Book Section Item not available online. (2006)
Applying Burnside's lemma to a one-dimmensional Escher problem Tomaž Pisanski, Doris Schattschneider and Brigitte Servatius Article Item not available online. (2006)
Asshuku ni Motozuita Hanyou na Ruijido Sokuteihou (in Japanese) Paul Vitányi Article (2006)
Automatic extraction of meaning from the web Rudi Cilibrasi and Paul Vitányi Conference or Workshop Item Item not available online. (2006)
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Bayes Blocks: A Python Toolbox for Variational Bayesian Learning Antti Honkela, Markus Harva, Tapani Raiko, Harri Valpola and Juha Karhunen Conference or Workshop Item (2006)
Bootstraping Complex Functions Bruno Apolloni, Simone Bassis, Sabrina Gaito and Dario Malchiodi Article Item not available online. (2006)
Campbell and moment measures for finite sequential spatial processes Marie-Colette van Lieshout Book Section Item not available online. (2006)
Causal Inference by Choosing Graphs with Most Plausible Markov Kernels. Xiaohai Sun, Dominik Janzing and Bernhard Schölkopf Conference or Workshop Item Item availablity restricted. (2006)
Classification of biological sequences with kernel methods Jean-Philippe Vert Conference or Workshop Item Item not available online. (2006)
Classification of Faces in Man and Machine Arnulf B.A. Graf, Felix A. Wichmann, Heinrich H. Bülthoff and Bernhard Schölkopf Article Item not available online. (2006)
Coding on countably infinite alphabets Stephane Boucheron, Elisabeth Gassiat and Aurelien Garivier Article (2006)
Combining a Filter Method with SVMs Thomas N. Lal, Olivier Chapelle and Bernhard Schölkopf Book Section Item not available online. (2006)
Combining graph Laplacians for semi--supervised learning Andreas Argyriou, Mark Herbster and Massimiliano Pontil Conference or Workshop Item (2006)
Common subset selection of inputs in multiresponse regression Timo Similä and Jarkko Tikka Conference or Workshop Item Item availablity restricted. (2006)
Comparison of visualization methods for an atlas of gene expression data sets Jarkko Venna and Samuel Kaski Article (2006)
Comparison-based algorithms: worst-case optimality, optimality w.r.t a bayesian prior, the intraclass-variance minimization in EDA, and implementations with billiards Sylvain Gelly, Sylvie Ruette and Olivier Teytaud Conference or Workshop Item (2006)
Cross-entropy optimization for independent process analysis Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2006)
Data Analysis with fuzzy clustering methods Christian Döring, Marie-Jeanne Lesot and Rudolf Kruse Article Item not available online. (2006)
Data summarisation by typicality-based clustering for vectorial data and nonvectorial data Marie-Jeanne Lesot and Rudolf Kruse Conference or Workshop Item Item not available online. (2006)
Datalog and Constraint Satisfaction with Infinite templates Victor Dalmau and Manuel Bodirsky Conference or Workshop Item (2006)
Deterministic Annealing for Semi-supervised Kernel Machines Vikas Sindhwani, Sathiya Keerthi and Olivier Chapelle Conference or Workshop Item (2006)
Dichotomy for Minimum Cost Graph Homomorphisms G. Gutin, P. Hell, A. Rafiey and A. Yeo Article (2006)
Discrete Regularization Dengyong Zhou and Bernhard Schölkopf Book Section Item not available online. (2006)
Discrete versus probabilistic sequence classifiers for domain-specific entity chunking Sander Canisius, Antal van den Bosch and Walter Daelemans Book Section Item not available online. (2006)
Discussion of V.Koltchinskii's 2004 IMS Medallion Lecture paper, "Local Rademacher complexities and oracle inequalities in risk minimization" Gilles Blanchard and Pascal Massart Article (2006)
Dual unification of bi-class support vector machine formulations Luis Gonzalez, Cecilio Angulo, Francisco Velasco and Andreu Catala Article Item not available online. (2006)
Efficient Algorithms for similarity measures over sequential data: a look beyond kernels K Rieck, P Laskov and Klaus-Robert Müller Conference or Workshop Item Item not available online. (2006)
Efficient semi-parametric estimation of the periods in a superposition of periodic functions with unknown shape Elisabeth Gassiat and Celine Levy-Leduc Article (2006)
Embedding sample points relevance in SVM linear classification Bruno Apolloni and Dario Malchiodi Conference or Workshop Item Item not available online. (2006)
Embedding Sample Points Uncertainty Measures in Learning Algorithms Dario Malchiodi Article Item not available online. (2006)
Enhancing the Signal-to-Noise Ratio of ICA-Based Extracted ERPs S Lemm, G Curio, Y Hlushuk and Klaus-Robert Müller Article Item not available online. (2006)
Ensembles based on random projections to improve the accuracy of clustering algorithms Alberto Bertoni and Giorgio Valentini Book Section (2006)
Ensembles for sequence learning Christos Dimitrakakis Thesis (2006)
Error exponents for AR order testing Elisabeth Gassiat and Stephane Boucheron Article (2006)
Estimation de signaux par noyaux d'ondelettes Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu Article (2006)
Exploratory analysis of climate data using source separation methods Alexander Ilin, Harri Valpola and Erkki Oja Article Item not available online. (2006)
Extracting motion primitives from natural handwriting data Benjamin Williams, Mark Toussaint and Amos Storkey Article Item not available online. (2006)
Extracting motion primitives from natural handwriting data Benjamin Williams, Marc Toussaint and Amos Storkey Article Item not available online. (2006)
Fast Support Vector Machine Classification using linear SVMs Karina Zapien, Janis Fehr and Hans Burkhardt Article (2006)
Fault-diameter of Cartesian graph bundles Iztok Banič and Janez Žerovnik Article Item not available online. (2006)
Fault-diameter of generalized Cartesian products Iztok Banič and Janez Žerovnik Conference or Workshop Item Item not available online. (2006)
Feature Extraction: Foundations and Applications Book Item not available online. (2006)
Fixed-Parameter Complexity of Minimum Profile Problems. G. Gutin, S. Szeider and A. Yeo Conference or Workshop Item (2006)
Fuzzy Clustering to estimate the parameters of block mixture models Gérard Govaert and Mohamed Nadif Article Item not available online. (2006)
Fuzzy prototypes based on typicality degrees Marie-Jeanne Lesot, Laure Mouillet and Bernadette Bouchon-Meunier Conference or Workshop Item Item not available online. (2006)
Gaussian process functional regression modelling for batch data J. Q. Shi, B. Wang, Roderick Murray-Smith and Mike Titterington Article Item not available online. (2006)
Gaussian Processes for Machine Learning Carl Edward Rasmussen and Christopher Williams Book Item not available online. (2006)
General lower bounds for evolutionary algorithms Olivier Teytaud and Sylvain Gelly Conference or Workshop Item (2006)
Generalized Spectral Bounds for Sparse LDA Baback Moghadam, Yair Weiss and Shai Avidan Conference or Workshop Item Item not available online. (2006)
Gustafson-Kessel-like clustering algorithm based on typicality degrees Marie-Jeanne Lesot and Rudolf Kruse Conference or Workshop Item Item not available online. (2006)
Hierarchical Classification: Combining Bayes with SVM Nicolò Cesa-Bianchi, Claudio Gentile and Luca Zaniboni Conference or Workshop Item (2006)
Identifying interactions in mixed and noisy complex systems Guido Nolte, Frank Meinecke, Andreas Ziehe and Klaus-Robert Müller Article Item not available online. (2006)
Identifying interactions in mixed and noisy complex systems Guido Nolte, Andreas Ziehe, Frank Meinecke and Klaus-Robert Müller Article Item availablity restricted. (2006)
Improved Second-Order Bounds for Prediction with Expert Advice Nicolò Cesa-Bianchi, Yishay Mansour and Gilles Stoltz Article (2006)
Incremental algorithms for hierarchical classification Nicolò Cesa-Bianchi, Claudio Gentile and Luca Zaniboni Article (2006)
Incremental Support Vector Learning: Analysis, Implementation and Applications P Laskov, C Gehl, S Krueger and Klaus-Robert Müller Article Item not available online. (2006)
Inference of biological regulatory networks: machine learning approaches Florence d'Alché-Buc Book Section Item availablity restricted. (2006)
Inferring biological networks with output kernel trees Pierre Geurts, Nizar Touleimat, Marie Dutreix and Florence d'Alché-Buc Article Item availablity restricted. (2006)
Integrating structured biological data by Kernel Maximum Mean Discrepancy Karsten M. Borgwardt, Arthur Gretton, Malte Rasch, Hans-Peter Kriegel, Bernhard Schölkopf and Alex Smola Article Item not available online. (2006)
Interacting Source Analysis- Identifying interactions in mixed and noisy complex systems Frank Meinecke, Andreas Ziehe, Guido Nolte and Klaus-Robert Müller Conference or Workshop Item Item not available online. (2006)
Interpolating support information granules Bruno Apolloni, Simone Bassis, Dario Malchiodi and Witold Perdycz Conference or Workshop Item Item not available online. (2006)
Kernel Basis Pursuit Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu Article (2006)
Kernel extrapolation S V N Vishwanathan, K. M. Borgwardt, Omri Guttman and Alex Smola Article (2006)
Kernel methods and the exponential family Stéphane Canu and Alex Smola Article (2006)
Kernel-based outlier preserving clustering with representativity coefficients Marie-Jeanne Lesot Book Section Item not available online. (2006)
Large scale multiple kernel learning Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf Article Item not available online. (2006)
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path A Antos, Csaba Szepesvari and R Munos Conference or Workshop Item Item not available online. (2006)
Local importance sampling: a novel technique to enhance particle filtering P Torma and Csaba Szepesvari Article Item not available online. (2006)
Local multidimensional scaling Jarkko Venna and Samuel Kaski Article (2006)
Machine Learning for Multimodal Interaction: Second International Workshop, MLMI'2005 Book (2006)
Machine Learning Methods for Estimating Operator Equations Florian Steinke and Bernhard Schölkopf Conference or Workshop Item Item availablity restricted. (2006)
Markovianity in space and time Marie-Colette van Lieshout Book Section (2006)
MCMC for doubly-intractable distributions Iain Murray, Zoubin Ghahramani and David J.C. MacKay Conference or Workshop Item (2006)
Meaningful Information Paul Vitányi Article Item not available online. (2006)
Mixture model approach for acoustic emission control of cylindrical pressure vessels Hani Hamdan and Gérard Govaert Article Item not available online. (2006)
Model-based cluster and discriminant analysis with the MIXMOD software Christophe Biernacki, Gilles Celeux, Gérard Govaert and Florent Langrognet Article Item not available online. (2006)
Motif Based Classification of Coregulated Genes G. Pavesi, Giorgio Valentini, G. Mauri, and G. Pesole Conference or Workshop Item (2006)
Neurally plausible, non-combinatorial iterative independent process analysis András Lorincz and Zoltan Szabo Article Item availablity restricted. (2006)
Non-Gaussian Component Analysis: a Semiparametric Framework for Linear Dimension Reduction Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny and Klaus-Robert Müller Conference or Workshop Item (2006)
Nonlinear dimensionality reduction viewed as information retrieval Jarkko Venna and Samuel Kaski Conference or Workshop Item (2006)
Note on Upper Bounds for TSP Domination Number Gregory Gutin, Angela Koller and Anders Yeo Article (2006)
Obtaining the best linear unbiased estimator of noisy signals by non-gaussian component analysis Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny and Klaus-Robert Müller Conference or Workshop Item Item availablity restricted. (2006)
On domination numbers of graph bundles Blaž Zmazek and Janez Žerovnik Article Item not available online. (2006)
On the Convergence of Eigenspaces in Kernel Principal Component Analysis Laurent Zwald and Gilles Blanchard Conference or Workshop Item (2006)
On the oriented network design problem Janez Žerovnik Conference or Workshop Item Item not available online. (2006)
On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy Sylvain Gelly, Jeremie Mary and Olivier Teytaud Conference or Workshop Item (2006)
Online Learning meets Optimization in the Dual Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (2006)
Online Multiclass Learning by Interclass Hypothesis Sharing Michael Fink, Shai Shalev-Shwartz, Yoram Singer and Shimon Ullman Conference or Workshop Item (2006)
Online Passive-Aggressive Algorithms Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz and Yoram Singer Article (2006)
Optimal on-line bin packing with two item sizes Gregory Gutin, Tommy Jensen and Anders Yeo Article (2006)
Optimal on-line bin packing with two item sizes Gregory Gutin, Tommy Jensen and Anders Yeo Article (2006)
Optimal single-class classification strategies Ran El-Yaniv and Mordechai Nisenson Conference or Workshop Item (2006)
Parallel software for training large scale support vector machines on multiprocessor systems Luca Zanni, Thomas Serafini and Gaetano Zanghirati Article (2006)
Parametric polynomial time perceptron rescaling algorithm Andriy Kharechko Book Section (2006)
Pattern Recognition from One Example by Chopping François Fleuret and Gilles Blanchard Conference or Workshop Item (2006)
Perfect simulation for length-interacting polygonal Markov fields in the plane Marie-Colette van Lieshout and T. Schreiber Article Item not available online. (2006)
Perfect simulation for marked point processes Marie-Colette van Lieshout and R.S. Stoica Article Item not available online. (2006)
Performance analysis of the FAstICA algorithm and Cramer-Rao lower bounds for linear independent component analysis Petr Tichavsky, Zbynek Koldovski and Erkki Oja Article Item not available online. (2006)
Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover Alex Rogers, Adam Prügel-Bennett and Nick Jennings Article (2006)
Prediction, Learning, and Games Nicolò Cesa-Bianchi and Gábor Lugosi Book Item not available online. (2006)
Probabilistic Modeling and Machine Learning in Structural and Systems Biology Book Item not available online. (2006)
Real and complex independent subspace analysis by generalized variance Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2006)
Regret minimization under partial monitoring Nicolò Cesa-Bianchi, Gábor Lugosi and Gilles Stoltz Article (2006)
Resource-Aware Parameterizations of EDA Sylvain Gelly, Olivier Teytaud and Christian Gagne Conference or Workshop Item (2006)
RSPSA: enhanced parameter optimisation in games L Kocsis, Csaba Szepesvari and M. H. M. Winands Conference or Workshop Item Item not available online. (2006)
Semi-Supervised Learning Book Item not available online. (2006)
Separation theorem for K-independent subspace analysis with sufficient conditions Zoltan Szabo, Barnabas Poczos and András Lorincz Other (2006)
Sparse Gaussian processes using pseudo-inputs Ed Snelson and Zoubin Ghahramani Conference or Workshop Item (2006)
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms Baback Moghadam, Yair Weiss and Shai Avidan Conference or Workshop Item Item not available online. (2006)
State Inference in Variational Bayesian Nonlinear State-Space Models Tapani Raiko, Matti Tornio, Antti Honkela and Juha Karhunen Conference or Workshop Item Item availablity restricted. (2006)
State-space models - from the EM algorithm to a gradient approach R. K. Olsson, K. B. Petersen and T. Lehn-Schiøler Article Item not available online. (2006)
Subspace, Latent Structure and Feature Selection techniques Book Item not available online. (2006)
SVM et apprentissage des très grandes bases de données Gaëlle Loosli, Stéphane Canu and Leon Bottou Conference or Workshop Item (2006)
The Evolving Tree - Analysis and Applications Jussi Pakkanen, Jukka Iivarinen and Erkki Oja Article Item not available online. (2006)
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget Ofer Dekel, Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (2006)
The influence of oppositely classified examples on the generalization complexity of Boolean functions Leonardo Franco and Martin Anthony Article Item not available online. (2006)
The pharmacophore kernel for virtual screening with support vector machines Pierre Mahé, Liva Ralaivola, Véronique Stoven and Jean-Philippe Vert Article Item not available online. (2006)
The pharmacophore kernel for virtual screening with support vector machines Pierre Mahé, Liva Ralaivola, Véronique Stoven and Jean-Philippe Vert Article Item not available online. (2006)
Tracking the Best Hyperplane with a Simple Budget Perceptron Nicolò Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (2006)
Tracking the Best Hyperplane with a Simple Budget Perceptron Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile Article (2006)
Transaction databases, Frequent Itemsets, and Their Condensed Representations Taneli Mielikäinen Conference or Workshop Item (2006)
Typicality-based clustering Marie-Jeanne Lesot Article Item not available online. (2006)
Variable noise and dimensionality reduction for sparse Gaussian processes Ed Snelson and Zoubin Ghahramani Conference or Workshop Item (2006)
Variational Bayes for Continuous-Time Nonlinear State-Space Models Antti Honkela, Matti Tornio and Tapani Raiko Conference or Workshop Item (2006)
What is the dimension of your binary data? Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis and Heikki Mannila Conference or Workshop Item (2006)
Worst Case Analysis of Max-Regret, Greedy and Other Heuristics for Multidimensional Assignment and Traveling Salesman Problems G. Gutin, B. Goldengorin and J. Huang Conference or Workshop Item (2006)
Tracking Hand Movements from Neuronal Activity with a Dynamic Kernel-Based Model Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia and Yoram Singer Conference or Workshop Item Item not available online. (14 December 2005)
Competitive Reinforcement Learning Peter Auer Conference or Workshop Item (10 December 2005)
Learning Hierarchies at Two-class Complexity Sandor Szedmak, Craig Saunders, John Shawe-Taylor and Juho Rousu Conference or Workshop Item (10 December 2005)
Phoneme Alignment using Large Margin Techniques Joseph Keshet, Shai Shalev-Shwartz and Yoram Singer Conference or Workshop Item (09 December 2005)
Ranking with Unlabeled Data: A first Study Nicolas Usunier, Truong Vinh, Massih Amini and Patrick Gallinari Conference or Workshop Item (07 December 2005)
Two view learning: SVM-2K, Theory and Practice Jason Farquhar, David Hardoon, Hongying Meng, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item (06 December 2005)
Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation Nicol N. Schraudolph, Jin Yu and Douglas Aberdeen Conference or Workshop Item (05 December 2005)
Generalisation Error Bounds for Classifiers Trained with Interdependent Data Nicolas Usunier, Massih Amini and Patrick Gallinari Conference or Workshop Item Item not available online. (03 December 2005)
Gaussian Processes for Multiuser Detection Juan Jose Murillo Fuentes and Fernando Perez-Cruz Conference or Workshop Item (December 2005)
A Unifying View of Sparse Approximate Gaussian Process Regression Joaquin Quinonero Candela and Carl Edward Rasmussen Article Item not available online. (December 2005)
Bayesian Sets Zoubin Ghahramani and Katherine Heller Conference or Workshop Item (December 2005)
Fast Gaussian Process Regression using KD-Trees Yirong Shen, Andrew Ng and matthias seeger Conference or Workshop Item Item not available online. (December 2005)
Input-Dependent Estimation of Generalization Error under Covariate Shift M Sugiyama and Klaus-Robert Müller Article (December 2005)
LASVM Applied to Invariant Problems Gaëlle Loosli Conference or Workshop Item (December 2005)
Methodology for Long-term Prediction of Time Series Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji and Amaury Lendasse Article Item availablity restricted. (December 2005)
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity Amir Navot, Lavi Shpigelman, Naftali Tishby and Eilon Vaadia Conference or Workshop Item (December 2005)
Statistical Convergence of Kernel CCA K Fukumizu, F Bach and Arthur Gretton Conference or Workshop Item (December 2005)
Structured Prediction via the Extragradient Method Ben Taskar, Simon Lacoste-Julien and Michael I. Jordan Conference or Workshop Item (December 2005)
Worst-Case Bounds for Gaussian Process Models Kakade Sham, matthias seeger and Dean Foster Conference or Workshop Item Item not available online. (December 2005)
On the properties of the Bethe approximation and loopy belief propagation on binary networks Joris Mooij and Bert Kappen Article (30 November 2005)
A MDL approach to HMM with Poisson and Gaussian emissions. Application to order identification Antoine Chambaz, Aurelien Garivier and Elisabeth Gassiat Article (23 November 2005)
Theory of classification: some recent advances Stephane Boucheron, Olivier Bousquet and Gábor Lugosi Article Item not available online. (22 November 2005)
Step Size Adaptation in Reproducing Kernel Hilbert Space S V N Vishwanathan, Nicol Schraudolph and Alex Smola Article (21 November 2005)
Representations of graphs Tomaž Pisanski Conference or Workshop Item Item not available online. (17 November 2005)
Visualization of networks Vladimir Batagelj Conference or Workshop Item Item not available online. (15 November 2005)
PicSOM experiments in TRECVID 2005 Markus Koskela, Jorma Laaksonen, Mats Sjöberg and Hannes Muurinen Conference or Workshop Item Item not available online. (14 November 2005)
Reachability Analysis for Uncertain SSPs Olivier Buffet Conference or Workshop Item (14 November 2005)
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes S V N Vishwanathan, Alex Smola and Rene Vidal Article (10 November 2005)
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors Mark Girolami and Simon Rogers Article (09 November 2005)
The Linear Arrangement Problem Parameterized Above Guaranteed Value Gregory Gutin, Arash Rafiey-Hafshejani, Stefan Szeider and Anders Yeo Article (07 November 2005)