PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Subject: Computational, Information-Theoretic Learning with Statistics

  • Subjects (8660)
    • Computational, Information-Theoretic Learning with Statistics (2087)

Sex as Gibbs sampling: a probability model of evolution Chris Watkins and Yvonne Buttkewitz Monograph (12 February 2014)
Keep it simple stupid—On the effect of lower-order terms in BIC-like criteria Teemu Roos and Yuan Zou Conference or Workshop Item (10 February 2013)
Large margin case-based reasoning Martin Anthony and Joel Ratsaby Monograph Item not available online. (February 2013)
STDP in Winner-Take-All Circuits Installs an Online Approximation to Hidden Markov Model Learning David Kappel, Bernhard Nessler and Wolfgang Maass Article Item not available online. (22 January 2013)
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments Yevgeny Seldin, Csaba Szepesvári, Peter Auer and Yasin Abbasi-Yadkori Article (12 January 2013)
Regret minimization for reserve prices in second-price auctions Nicolò Cesa-Bianchi, Claudio Gentile and Yishay Mansour Conference or Workshop Item (January 2013)
A Blind Deconvolution Approach for Pseudo CT Prediction from MR Image Pairs M Hirsch, M Hofmann, F Mantlik, M Habeck, BJ Pichler and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)
A neural network algorithm for semi-supervised node label learning from unbalanced data Marco Frasca, Alberto Bertoni, Matteo Re and Giorgio Valentini Article (2013)
Domain Generalization via Invariant Feature Representation K Muandet, D Balduzzi and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)
Dynamic Copula Networks for Modeling Real-valued Time Series Gal Elidan, Israel Nelken, Adi Mizrahi and Gideon Rothschild Conference or Workshop Item (2013)
Joint estimation of intersecting context tree models Antonio Galves, Aurelien Garivier and Elisabeth Gassiat Article Item not available online. (2013)
Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data Antti Honkela, Magnus Rattray and Neil Lawrence Book Section Item not available online. (2013)
Mirror Descent meets Fixed Share (and feels no regret) Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi and Gilles Stoltz Conference or Workshop Item (2013)
Probabilistic Modeling of Human Movements for Intention Inference Z Wang, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters Conference or Workshop Item Item not available online. (2013)
Probabilistic movement modeling for intention inference in human-robot interaction Z Wang, K Mülling, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters Article Item not available online. (2013)
Random spanning trees and the prediction of weighted graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Article (2013)
Regret minimization for reserve prices in second-price auctions Nicolò Cesa-Bianchi, Claudio Gentile and Yishay Mansour Conference or Workshop Item (2013)
Structure and Dynamics of Information Pathways in On-line Media M Gomez Rodriguez, J Leskovec and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)
A statistical significance testing approach to mining the most informative set of patterns Jefrey Lijffijt, Panagiotis Papapetrou and Kai Puolamäki Article Item availablity restricted. (19 December 2012)
Signalling network construction for modelling plant defence response Nada Lavrac, Dragana Miljković, Tjaša Stare, Igor Mozetič, Vid Podpečan, Marko Petek, Kamil Witek, Marina Dermastia and Kristina Gruden Article Item not available online. (18 December 2012)
Identification of OCD-relevant brain areas through Multivariate Feature Selection Emilio Parrado-Hernandez, Vanessa Gomez-Verdejo, Manel Martinez-Ramon, P Alonso, J Pujol, J.M. Menchon, N. Cardoner and Carles Soriano-Mas Conference or Workshop Item Item availablity restricted. (17 December 2012)
Scalable optimization of neighbor embedding for visualization Zhirong Yang, Jaakko Peltonen and Samuel Kaski Conference or Workshop Item Item availablity restricted. (15 December 2012)
Interpreting Prediction Markets: A Stochastic Approach Rafael Frongillo, Nicolás Della Penna and Mark Reid Conference or Workshop Item (03 December 2012)
Spectral Learning of General Weighted Automata via Constrained Matrix Completion Borja Balle and Mehryar Mohri Conference or Workshop Item Item not available online. (03 December 2012)
Transfer learning using a nonparametric sparse topic model Ali Faisal, Jussi Gillberg, Gayle Leen and Jaakko Peltonen Article Item availablity restricted. (01 December 2012)
A Generative Model for Parts-based Object Segmentation Ali Eslami and Christopher Williams Conference or Workshop Item (December 2012)
A linear time active learning algorithm for link classification Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (December 2012)
Mixability in statistical learning Tim Erven, van, Peter Grünwald, Mark Reid and Bob Williamson Conference or Workshop Item Item not available online. (December 2012)
On multilabel classification and ranking with partial feedback Claudio Gentile and Francesco Orabona Conference or Workshop Item (December 2012)
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking clement Caluzenes, Nicolas Usunier and Patrick Gallinari Conference or Workshop Item Item not available online. (December 2012)
PAC-Bayes Bounds with Data Dependent Priors Emilio Parrado-Hernandez, John Shawe-Taylor, Amiran Ambroladze and Shiliang Sun Article Item not available online. (December 2012)
PAC-Bayesian Inequalities for Martingales Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor and Peter Auer Article Item not available online. (December 2012)
Proceedings of the Fifth Workshop on Information Theoretic Methods in Science and Engineering (WITMSE 2012) Book Item not available online. (December 2012)
Scalable imputation of genetic data with a discrete fragmentation-coagulation process Lloyd Elliott and Yee Whye Teh Conference or Workshop Item Item not available online. (December 2012)
Prediction by Posterior Estimation in Virtual Screening Kitsuchart Pasupa Conference or Workshop Item (21 November 2012)
Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning Gregor Hörzer, Robert Legenstein and Wolfgang Maass Article Item not available online. (11 November 2012)
Concentration inequalities for order statistics Stephane Boucheron and Maud Thomas Article (01 November 2012)
Efficient Tracking of Large Classes of Experts Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item not available online. (November 2012)
Sample width for multi-category classifiers Martin Anthony and Joel Ratsaby Monograph Item not available online. (November 2012)
Regret Bounds for Restless Markov Bandits Ronald Ortner Conference or Workshop Item Item not available online. (30 October 2012)
Regret Bounds for Restless Markov Bandits Ronald Ortner Conference or Workshop Item Item not available online. (30 October 2012)
Regret Bounds for Restless Markov Bandits Ronald Ortner Conference or Workshop Item Item not available online. (30 October 2012)
Emergence of dynamic memory traces in cortical microcircuit models through STDP Stefan Klampfl and Wolfgang Maass Article Item not available online. (29 October 2012)
V-fold cross-validation and V-fold penalization in least-squares density estimation Sylvain Arlot and Matthieu Lerasle Other (22 October 2012)
Improved feature extraction by pyramidal cells through relaxed lateral inhibition Zeno Jonke, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Conference or Workshop Item Item not available online. (14 October 2012)
Liquid computing with memory: Cell assembly self-organization through STDP Stefan Klampfl and Wolfgang Maass Conference or Workshop Item Item not available online. (13 October 2012)
Image Analysis for Cosmology: Results from the GREAT10 Star Challenge Thomas Kitching, Barnaby Rowe, M Gill, C Heymans, R Massey, D Witherick, F Courbin, K Georgatzis, M Gentile, D Gruen, M Kilbinger, G L Li, A P Mariglis, G Meylan, A Storkey and B Xin Article (06 October 2012)
Focused multi-task learning in a Gaussian process framework Gayle Leen, Jaakko Peltonen and Samuel Kaski Article Item availablity restricted. (01 October 2012)
Empirical portfolio selection strategies with proportional transaction cost Laszlo Gyorfi and Harro Walk Article Item not available online. (October 2012)
The Safe Bayesian: learning the learning rate via the mixability gap Peter Grünwald Conference or Workshop Item Item not available online. (October 2012)
Efficient optimization for data visualization as an information retrieval task Jaakko Peltonen and Konstantinos Georgatzis Conference or Workshop Item Item not available online. (26 September 2012)
UNSUPERVISED FEATURE SELECTION BASED ON NON-PARAMETRIC MUTUAL INFORMATION Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (25 September 2012)
Advanced Topics on Data Stream Mining Albert Bifet, Joao Gama, Ricard Gavaldà, Georg Krempl, Mykola Pechenizkiy, Bernhard Pfahringer, Myra Spiliopoulou and Indrė Žliobaitė Conference or Workshop Item Item not available online. (14 September 2012)
Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball Dimitri Probst, Wolfgang Maass, Henry Markram and Marc-Oliver Gewaltig Conference or Workshop Item Item not available online. (11 September 2012)
The role of feedback in morphological computation with compliant bodies Helmut Hauser, Auke Ijspeert, Rudolf Fuechslin, Rolf Pfeiffer and Wolfgang Maass Article Item not available online. (06 September 2012)
Optimally-Weighted Herding is Bayesian Quadrature Ferenc Huszar and David Duvenaud Article Item not available online. (August 2012)
Efficient tracking of large classes of experts Andras Gyorgy, Tamas Linder and Gábor Lugosi Conference or Workshop Item Item not available online. (01 July 2012)
Commentary on "The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators" by F. Hedayati and P. Bartlett Peter Grünwald Other Item not available online. (July 2012)
The Convexity and Design of Composite Multiclass Losses Mark Reid, Bob Williamson and Peng Sun Conference or Workshop Item (28 June 2012)
A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons Stefan Klampfl, Stephen David, Pingbo Yin, Shihab Shamma and Wolfgang Maass Article Item not available online. (13 June 2012)
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures Avraham Ruderman, Dario Garcia, James Petterson and Mark Reid Conference or Workshop Item (13 June 2012)
Probing Real Sensory Worlds of Receivers with Unsupervised Clustering Michael Pfeiffer, Manfred Hartbauer, Alexander Lang, Wolfgang Maass and Heinrich Roemer Article Item not available online. (06 June 2012)
Recent Advances in Reinforcement Learning - 9th European Workshop, EWRL 2011 Scott Sanner and Marcus Hutter Book (01 June 2012)
A correlation clustering approach to link classification in signed networks Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (June 2012)
Adaptive compression against a countable alphabet. Dominique Bontemps, Stephane Boucheron and Elisabeth Gassiat Conference or Workshop Item (June 2012)
Learning on finite metric spaces Martin Anthony and Joel Ratsaby Monograph Item not available online. (June 2012)
Emergence of Hidden Markov Models through STDP in Networks of Spiking Neurons David Kappel, Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (31 May 2012)
Mixability is Bayes Risk Curvature Relative to Log Loss Tim van Erven, Mark Reid and Bob Williamson Article (27 May 2012)
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Article Item not available online. (11 May 2012)
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette and John Shawe-Taylor Article (02 May 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)
The Adversarial Stochastic Shortest Path Problem with Unknown Transition Probabilities Gergely Neu, Andras Gyorgy and Csaba Szepesvari Conference or Workshop Item Item not available online. (21 April 2012)
Online Clustering of Processes Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary and Philippe Preux Conference or Workshop Item Item not available online. (April 2012)
Dimensionality reduction based on nonparametric mutual information Lev Faivishevsky and Jacob Goldberger Article Item not available online. (23 March 2012)
Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like exten- sions Jesús Andrés-Ferrer, Martin Sundermeyer and Hermann Ney Conference or Workshop Item Item not available online. (March 2012)
Dimensionality reduction based on non-parametric mutual information Lev Faivishevsky and Jacob Goldberger Article (March 2012)
Does more data always yield better translations? Guillem Gascó,, Martha-Alicia Rocha,, Germán Sanchis-Trilles, Jesús Andrés-Ferrer and Francisco Casacuberta Conference or Workshop Item Item not available online. (March 2012)
Machine Learning for Financial Engineering Book Item not available online. (March 2012)
Image Analysis for Cosmology: Results from the GREAT10 Galaxy Challenge Thomas Kitching, S T Balan, Sarah Bridle, N Cantale, F Courbin, M Gentile, M Gill, S Harmeling, C Heymans, M Hirsch, T Kacprzak, D Kirkby, D Margala, R Massey, P Melchior, G Nurbaeva, K Patton, J Rhodes, Barnaby Rowe, A N Taylor, M Tewes, M Viola, D Witherick, L Voigt, J Young and J Zuntz Article Item not available online. (23 February 2012)
Autonomous Exploration For Navigating In MDPs Shiau Hong Lim and Peter Auer Conference or Workshop Item Item availablity restricted. (14 February 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)
MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS Alberto Garcia-Duran, Jeronimo Arenas-Garcia, Dario Garcia-Garcia and Emilio Parrado-Hernandez Book Section Item availablity restricted. (07 February 2012)
Forecasting with Twitter Data Marta Arias, Argimiro Arratia and Ramon Xuriguera Article Item not available online. (01 February 2012)
Modulation of Corticomuscular Coherence by peripheral stimuli Zoran Cvetkovic, Verity / M McClelland and Kerry / R Mills Article Item not available online. (February 2012)
Optimal control as a graphical model inference problem Bert Kappen, Vicenc Gomez and Manfred Opper Article Item not available online. (February 2012)
Information-Theoretic Linear Feature Extraction based on Kernel Density Estimators: A Review Jose Leiva-Murillo and Antonio Artés-Rodríguez Article (31 January 2012)
An unsupervised data projection that preserves the cluster structure Lev Faivishevsky and Jacob Goldberger Article Item not available online. (10 January 2012)
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence Sohan Seth and Jose Principe Article Item not available online. (January 2012)
The performance of a new hybrid classifier based on boxes and nearest neighbours. Martin Anthony and Joel Ratsaby Conference or Workshop Item Item not available online. (January 2012)
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling Antonino Freno, Mikaela Keller and Marc Tommasi Conference or Workshop Item Item not available online. (2012)
Identifying good patterns for relation extraction Blaz Fortuna and Janez Starc Conference or Workshop Item Item not available online. (2012)
3D morphable model fitting for low-resolution facial images P Mortazavian, Josef Kittler and William Christmas Conference or Workshop Item Item not available online. (2012)
A Brain-Robot Interface for Studying Motor Learning after Stroke T Meyer, J Peters, D Brötz, TO Zander, Bernhard Schölkopf, SR Soekadar and M Grosse-Wentrup Conference or Workshop Item Item not available online. (2012)
A Kernel Two-Sample Test A Gretton, K Borgwardt, M Rasch, Bernhard Schölkopf and A Smola Article Item not available online. (2012)
Active Learning of Model Evidence Using Bayesian Quadrature Michael Osborne, David Duvenaud, Roman Garnett, Stephen Roberts, Carl Edward Rasmussen and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2012)
Algorithms for Maximum-Likelihood Bandwidth Selection in Kernel Density Estimators Jose Leiva-Murillo and Antonio Artés-Rodríguez Article (2012)
An online brain–computer interface based on shifting attention to concurrent streams of auditory stimuli NJ Hill and Bernhard Schölkopf Article Item not available online. (2012)
Bisociative knowledge discovery by literature outlier detection Nada Lavrac, Ingrid Petrič, Bojan Cestnik and Tanja Urbančič Article Item not available online. (2012)
Blind Correction of Optical Aberrations CJ Schuler, M Hirsch, S Harmeling and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)
Blind Retrospective Motion Correction of MR Images A Loktyushin, H Nickisch, R Pohmann and Bernhard Schölkopf Article Item not available online. (2012)
Bootstrapping and Learning PDFA in Data Streams Borja Balle, Jorge Castro and Ricard Gavaldà Conference or Workshop Item Item not available online. (2012)
Canonical Trends: Detecting Trend Setters in Web Data Felix Biessmann, Jens-Michalis Papaioannou, Mikio Braun and Andreas Harth Conference or Workshop Item Item not available online. (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)
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs Suleiman Khan, Ali Faisal, John Patrick Mpindi, Juuso Parkkinen, Tuomo Kalliokoski, Antti Poso Poso, Olli P. Kallioniemi, Krister Wennerberg and Samuel Kaski Article (2012)
Distributed high dimensional information theoretical image registration via random projections Zoltan Szabo and András Lorincz Article Item not available online. (2012)
Distributed high dimensional information theoretical image registration via random projections Zoltan Szabo and András Lorincz Article (2012)
Foundations of rule learning Nada Lavrac, Johannes Furnkranz and Dragan Gamberger Monograph Item not available online. (2012)
Gaussian mixture model of heart rate variability Tommaso Costa, Giuseppe Boccignone and Mario Ferraro Article (2012)
Good edit similarity learning by loss minimization Aurélien Bellet, Amaury Habrard and Marc Sebban Article (2012)
Group-structured and independent subspace based dictionary learning Zoltan Szabo Thesis (2012)
Handwritten Digit Recognition using Edit Distance-Based KNN marc Bernard, Elisa Fromont, Amaury Habrard and Marc Sebban Conference or Workshop Item (2012)
High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces M Grosse-Wentrup and Bernhard Schölkopf Article Item not available online. (2012)
Hypergraph Based Information-theoretic Feature Selection Zhihong Zhang and Edwin Hancock Article Item not available online. (2012)
Identifying differentially expressed transcripts from RNA-seq data with biological variation Peter Glaus, Antti Honkela and Magnus Rattray Article Item availablity restricted. (2012)
Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)
Information-geometric approach to inferring causal directions D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, B Steudel and Bernhard Schölkopf Article Item not available online. (2012)
Informative Priors for Markov Blanket Discovery Adam Pocock, Mikel Lujan and Gavin Brown Conference or Workshop Item (2012)
Investigating the Neural Basis of Brain-Computer Interface (BCI)-based Stroke Rehabilitation T Meyer, J Peters, TO Zander, D Brötz, SR Soekadar, Bernhard Schölkopf and M Grosse-Wentrup Conference or Workshop Item Item not available online. (2012)
Kernel methods in medical imaging G Charpiat, M Hofmann and Bernhard Schölkopf Book Section Item not available online. (2012)
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)
Learning from evolving data streams: online triage of bug reports Grzegorz Chrupala Conference or Workshop Item (2012)
Learning the experts for online sequence prediction Amir Globerson, Shai Shalev-Shwartz and Aharon Birnbaum Article Item not available online. (2012)
Localized Graph-based Feature Selection for Clustering Zhihong Zhang and Edwin Hancock Conference or Workshop Item Item not available online. (2012)
Machine learning for first-order theorem proving: learning to select a good heuristic James Bridge, Sean Holden and Lawrence Paulson Article Item not available online. (2012)
Model selection in block clustering by the integrated classification likelihood Aurore Lomet, Gérard Govaert and Yves Grandvalet Conference or Workshop Item Item not available online. (2012)
MR-based PET Attenuation Correction for PET/MR Imaging I Bezrukov, F Mantlik, H Schmidt, Bernhard Schölkopf and BJ Pichler Article Item not available online. (2012)
On Causal and Anticausal Learning Bernhard Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang and J Mooij Conference or Workshop Item Item not available online. (2012)
On the Empirical Estimation of Integral Probability Metrics B Sriperumbudur, K Fukumizu, A Gretton, Bernhard Schölkopf and G Lanckriet Article Item not available online. (2012)
On the Optimal Decision Rule for Sequential Interactive Structured Prediction Vicent Alabau, Alberto Sanchis and Francisco Casacuberta Article Item not available online. (2012)
PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, Francois Laviolette and John Shawe-Taylor Conference or Workshop Item (2012)
Predictive brains: forethought and the levels of explanation Giuseppe Boccignone and Roberto Cordeschi Article Item not available online. (2012)
Quantifying accuracy of learning via sample width Martin Anthony and Joel Ratsaby Conference or Workshop Item Item not available online. (2012)
Quantifying Spatiotemporal Dynamics of Twitter Replies to News Feeds Felix Biessmann, Jens-Michalis Papaioannou, Andreas Harth, Matthias L. Jugel, Klaus-Robert Mueller and Mikio Braun Conference or Workshop Item (2012)
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database R Köhler, M Hirsch, B Mohler, Bernhard Schölkopf and S Harmeling Conference or Workshop Item 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)
Regret analysis of stochastic and nonstochastic multi-armed bandit problems Sébastien Bubeck and Nicolò Cesa-Bianchi Article (2012)
Revisiting the Effect of History on Learning Performance: The Problem of the Demanding Lord George Giannakopoulos and Themis Palpanas Article Item not available online. (2012)
Robust multi-class Gaussian process classification Daniel Hernández-Lobato, José Miguel Hernánez Lobato and Pierre Dupont Conference or Workshop Item (2012)
Semi-Supervised Domain Adaptation with Copulas D Lopez-Paz, JM Hernandez-Lobato and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)
Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2012)
Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2012)
Similarity Learning for Provably Accurate Sparse Linear Classification. Aurélien Bellet, Amaury Habrard and Marc Sebban Conference or Workshop Item (2012)
Sparse nonparametric topic model for transfer learning Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen and Samuel Kaski Conference or Workshop Item Item not available online. (2012)
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network data Antonino Freno, Mikaela Keller, Gemma Garriga and Marc Tommasi Conference or Workshop Item Item not available online. (2012)
SRF : A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise Katsiarina MIrylenka, George Giannakopoulos and Themis Palpanas Conference or Workshop Item Item not available online. (2012)
Submodular Inference of Diffusion Networks from Multiple Trees M Gomez Rodriguez and Bernhard Schölkopf Article Item not available online. (2012)
Testing composite hypotheses about discrete ergodic processes daniil ryabko Article Item not available online. (2012)
The representer theorem for Hilbert spaces: a necessary and sufficient condition F Dinuzzo and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)
The rocky road to personalized medicine: computational and statistical challenges Jukka Corander, Tero Aittokallio, Samuli Ripatti and Samuel Kaski Article Item not available online. (2012)
The web of things : tutorial description Marko Grobelnik and Carolina Fortuna Conference or Workshop Item Item not available online. (2012)
Towards minimax policies for online linear optimization with bandit feedback Sébastien Bubeck, Nicolò Cesa-Bianchi and Sham Kakade Conference or Workshop Item (2012)
Forecasting financial time series with Twitter Ramon Xuriguera, Marta Arias and Argimiro Arratia Conference or Workshop Item Item not available online. (19 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)
Random models of Menzerath-Altmann law in genomes Jaume Baixeries, Antoni Hernández-Fernández and Ramon Ferrer-i-Cancho Article Item not available online. (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)
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)
Analysis of Textual Variation by Latent Tree Structures Teemu Roos and Yuan Zou Conference or Workshop Item (December 2011)
Approximate Inference of the Bandwidth in Multivariate Kernel Density Estimation Maurizio Filippone and Guido Sanguinetti Article Item not available online. (December 2011)
Gender discriminating models from facial surface normals Jing Wu, William A.P. Smith and Edwin Hancock Article Item not available online. (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)
OntoPlus : text-driven ontology extension using ontology content, structure and co-occurrence information Inna Novalija, Dunja Mladenić and Luka Bradeško Article 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)
See the tree through the lines: the Shazoo algorithm Fabio Vitale, Nicolò Cesa-Bianchi, Claudio Gentile and Giovanni Zappella Conference or Workshop Item (December 2011)
Trading value and information in MDPs Jonathan Rubin, Ohad Shamir and Naftali Tishby Book Section (11 November 2011)
An Information Theoretic Approach to Gender Feature Selection Zhihong Zhang, Edwin Hancock and Jing Wu Conference or Workshop Item (November 2011)
Approximate Gaussian Integration using Expectation Propagation John Cunningham, Philipp Hennig and Simon Lacoste-Julien Article Item not available online. (November 2011)
Information Theoretic Methods for Learning Generative Models for Relational Structures Edwin Hancock Conference or Workshop Item (November 2011)
Tensor-based Total Bregman Divergences between Graphs Francisco Escolano, Meizhu Lu and Edwin Hancock Conference or Workshop Item (November 2011)
Beyond logarithmic bounds in online learning Francesco Orabona, Nicolò Cesa-Bianchi and Claudio Gentile Conference or Workshop Item (14 October 2011)
Lipschitz bandits without the Lipschitz constant Sébastien Gerchinovitz, Gilles Stoltz and Jia Yuan Yu Conference or Workshop Item (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)
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)
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)
A comparison of random forest with ECOC-based classifiers raymond smith, miroslaw bober and Terry Windeatt Article Item not available online. (September 2011)
Comparing probabilistic models for melodic sequences. Athina Spiliopoulou and Amos Storkey Article Item not available online. (September 2011)
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation Franceso Escolano and Edwin Hancock Conference or Workshop Item Item not available online. (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)
A Hypergraph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Article (13 August 2011)
Information, Utility & Bounded Rationality Pedro Ortega and Daniel A. Braun Conference or Workshop Item (03 August 2011)
Reinforcement Learning and the Bayesian Control Rule Pedro Ortega, Daniel A. Braun and Simon Godsill Conference or Workshop Item (03 August 2011)
Bayesian Reasoning and Machine Learning David Barber Book Item not available online. (August 2011)
Hubness-based fuzzy measures for high-dimensiona k-nearest neighbor classification Nenad Tomašev, Miloš Radovanović, Dunja Mladenić and Mirjana Ivanović Conference or Workshop Item Item not available online. (August 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)
Automating the Calibration of a Neonatal Condition Monitoring System Christopher Williams and Ioan Stanculescu Article (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)
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)
Feature Selection for Gender Classification Zhihong Zhang and Edwin Hancock Article (18 June 2011)
Semi-Supervised Learning for WLAN Positioning Teemu Pulkkinen, Teemu Roos and Petri Myllymäki Conference or Workshop Item Item not available online. (17 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 hierarchical generative model of recurrent object-based attention in the visual cortex. David Reichert, Peggy Series and Amos Storkey Article Item not available online. (June 2011)
A system for publishing sensor data on the semantic web Alexandra Moraru, Carolina Fortuna and Dunja Mladenić Conference or Workshop Item Item not available online. (June 2011)
Graph matching through entropic manifold alignment Franceso Escolano, Edwin Hancock and Miguel-Angel Lozano Conference or Workshop Item (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)
Pattern Recognition Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants and Edwin Hancock Book 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)
The grouped author-topic model for unsupervised entity resolution. Andrew Dai and Amos Storkey Article Item not available online. (June 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)
Gambit: An Autonomous Chess-Playing Robotic System Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua Smith and Dieter Fox Conference or Workshop Item (May 2011)
Learning Probabilistic Automata: A Study In State Distinguishability Borja Balle, Jorge Castro and Ricard Gavaldà Article Item availablity restricted. (May 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)
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)
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)
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)
A High-Dimensional Subband Speech Representation and SVM Framework for Robust Speech Recognition J K Yousafzai, Z Cvetkovic, P Sollich and M Ager Article (04 March 2011)
A Kernel Approach to Tractable Bayesian Nonparametrics Ferenc Huszar and Simon Lacoste-Julien Article Item not available online. (March 2011)
A Perturbative Approach to Novelty Detection in Autoregressive Models Maurizio Filippone and Guido Sanguinetti Article (March 2011)
Datasets of the Active Learning Challenge Isabelle Guyon Other (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)
Implementation of the Active Learning Challenge in the Causality Workbench Virtual Lab Isabelle Guyon Other (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)
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)
Dimensionality reduction for data visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (17 February 2011)
Composer recognition using language models María Hontanilla, Carlos Pérez-Sancho and José Iñesta Conference or Workshop Item Item availablity restricted. (16 February 2011)
On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features J K Yousafzai, Z Cvetkovic and P Sollich Conference or Workshop Item (15 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)
Dynamic Policy Programming Mohammad Gheshlaghi Azar and Bert Kappen Article Item availablity restricted. (February 2011)
Epigenetic quantification of tumor-infiltrating T-lymphocytes Jalid Sehouli, Christoph Loddenkemper, Tatjana Cornu, Tim Schwachula, Ulrich Hoffmüller, Andreas Grützkau, Philipp Lohneis, Thorsten Dickhaus, Jörn Gröne, Martin Kruschewski, Alexander Mustea, Ivana Turbachova, Udo Baron and Sven Olek 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)
SalaboMiner - A Biomedical Literature Mining Tool for Inferring the Genetics of Complex Diseases Book Item not available online. (26 January 2011)
Implicitly adaptive FDR control based on the asymptotically optimal rejection curve Thorsten Dickhaus Conference or Workshop Item Item not available online. (25 January 2011)
A Monte-Carlo AIXI Approximation J Veness, K Ng, Marcus Hutter, William Uther and D Silva Article (January 2011)
Combining Strategies Efficiently: High-Quality Decisions from Conflicting Advice Wouter Koolen Thesis Item not available online. (January 2011)
Generalization Error Bounds for the Logical Analysis of Data Martin Anthony Monograph 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 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 distance for partially labeled trees Jorge Calvo, David Rizo and José Iñesta Article Item not available online. (2011)
A Graph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Conference or Workshop Item 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 Hypergraph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Conference or Workshop Item Item not available online. (2011)
A multi-model ensemble method that combines imperfect models through learning L.A. Berge, F.M. Selten, Wim Wiegerinck and G.S. Duane Article Item not available online. (2011)
A Perturbative Approach to Novelty Detection in Autoregressive Models Maurizio Filippone and Guido Sanguinetti Article Item not available online. (2011)
A perturbative approach to novelty detection in autoregressive models Maurizio Filippone and Guido Sanguinetti Article Item not available online. (2011)
A tree-based regressor that adapts to intrinsic dimension. Samory Kpotufe and Sanjoy Dasgupta Article Item not available online. (2011)
Adaptive Bayesian Quantum Tomography Ferenc Huszar and Neil Houlsby Article Item not available online. (2011)
Adaptive nonparametric detection in cryo-electron microscopy Mikhail Langovoy, Michael Habeck and Bernhard Schölkopf Conference or Workshop Item (2011)
Algebraic Geometric Comparison of Probability Distributions F J Kiraly, Paul Buenau, Frank Meinecke and Klaus-Robert Müller Article (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)
An Information Theoretic Approach to Learning Generative Graph Prototypes Lin Han, Edwin Hancock and Richard Wilson Conference or Workshop Item Item not available online. (2011)
Approximate Dynamic Programming with Function Approximation Mohammad Azar, Vicenc Gomez Cerda and Bert Kappen Conference or Workshop Item (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)
Binary Similarity Measures and their Applications in Machine Learning Ben Veal Thesis (2011)
Boosting with Maximum Adaptive Sampling Charles Dubout and Francois Fleuret Conference or Workshop Item (2011)
Can semantics facilitate language learning? Dana Angluin and Leonor Becerra Conference or Workshop Item Item not available online. (2011)
Characterizing Graphs Using Approximate von Neumann Entropy Lin Han, Edwin Hancock and Richard Wilson Conference or Workshop Item Item not available online. (2011)
Classifying melodies using tree grammars Jose Francisco Bernabeu Briones, Jorge Calera-Rubio and José Iñesta Article 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)
Clustgrams: an extension to histogram densities based on the minimum description length principle Panu Luosto and Petri Kontkanen 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)
Contributions to High-Dimensional Pattern Recognition Mauricio Villegas and Roberto Paredes Thesis Item not available online. (2011)
Convergent Expectation Propagation in Linear Models with Spike-and-slab Priors José Miguel Hernánez Lobato and Daniel Hernández-Lobato Article (2011)
Discriminative learning of Bayesian networks via factorized conditional log-likelihood Alexandra Carvalho, Teemu Roos, Arlindo Oliveira and Petri Myllymäki Article (2011)
Effects of Meaning-Preserving Corrections on Language Learning Dana Angluin and Leonor Becerra Conference or Workshop Item Item not available online. (2011)
Ensemble methods: a review Matteo Re and Giorgio Valentini Book Section (2011)
Entropy versus Heterogeneity for Graphs. Lin Han, Edwin Hancock and Richard Wilson Conference or Workshop Item Item not available online. (2011)
Expectation Propagation for the Estimation of Conditional Bivariate Copulas José Miguel Hernánez Lobato, David López-Paz and Zoubin Ghahramani Conference or Workshop Item (2011)
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks Vinayak Rao and Yee Whye Teh Conference or Workshop Item Item not available online. (2011)
Feature Selection for Gender Classification Zhihong Zhang and Edwin Hancock Conference or Workshop Item Item not available online. (2011)
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation Francisco Escolano and Edwin Hancock Conference or Workshop Item Item not available online. (2011)
Gaussian Process Modulated Renewal Processes Vinayak Rao and Yee Whye Teh Conference or Workshop Item Item not available online. (2011)
Graph Clustering Using the Jensen-Shannon Kernel Lu Bai and Edwin Hancock Conference or Workshop Item 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)
High Frequency Statistical Arbitrage via the Optimal Thermal Causal Path CVL Raju Monograph Item not available online. (2011)
High Order Structural Matching Using Dominant Cluster Analysis Peng Ren, Richard Wilson and Edwin Hancock Conference or Workshop Item 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 biased are maximum entropy models? Jakob Macke, Iain Murray and Peter E Latham Article (2011)
Intrinsic plagiarism detection using character trigram distance scores Mike Kestemont, Kim Luyckx and Walter Daelemans 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 Generative Graph Prototypes Using Simplified von Neumann Entropy Lin Han, Edwin Hancock and Richard Wilson Conference or Workshop Item Item not available online. (2011)
Learning inverse kinematics with structured prediction Botond Bocsi, Duy Nguyen-Tuong, Lehel Csato, Bernhard Schölkopf and Jan Peters Conference or Workshop Item (2011)
Logic-based Event Recognition Alexander Artikis, Anastasios skarlatidis, Fancois Portet and Georgios Paliouras Article (2011)
Melodic Identification Using Probabilistic Tree Automata Jose Francisco Bernabeu Briones, Jorge Calera-Rubio, José Iñesta and David Rizo 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)
Mixability is Bayes Risk Curvature Relative to Log Loss Tim Erven, van, Mark Reid and Bob Williamson Article (2011)
Mixability is Bayes Risk Curvature Relative to Log Loss Tim Erven, van, Mark Reid and Bob Williamson Article Item not available online. (2011)
Modeling Rate of Change in Renal Function for Individual Patients: A Longitudinal Model Based on Routinely Collected Data Norman Poh and Simon de Lusigan Conference or Workshop Item (2011)
Modeling the structure and evolution of discussion cascades. V. Gomez, Bert Kappen and A. Kaltenbrunner Conference or Workshop Item Item availablity restricted. (2011)
Modelling Genetic Variations using Fragmentation-Coagulation Processes Yee Whye Teh, Charles Blundell and Lloyd Elliott Conference or Workshop Item 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-Task Drug Bioactivity Classification with Graph Labeling Ensembles Hongyu Su and Juho Rousu 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)
Multimodal Interactive Handwritten Text Transcription Verónica Romero, Alejandro Hector Tosselli and Enrique Vidal Book Item not available online. (2011)
Multitask Learning without Label Correspondences Novi Quadrianto, A.J. Smola, Tiberio Caetano, S.V.N. Vishwanathan and James Petterson Conference or Workshop Item (2011)
Mutual Information Criteria for Feature Selection Zhihong Zhang and Edwin Hancock 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 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 independent process analysis Zoltan Szabo and Barnabas Poczos Conference or Workshop Item Item availablity restricted. (2011)
On the relation between realizable and non-realizable cases of the sequence prediction problem. Daniil Ryabko 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)
Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays Leo Lahti, Laura Elo, Tero Aittokallio and Samuel Kaski Article Item not available online. (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)
Rectifying Non-euclidean Similarity Data through Tangent Space Reprojection Weiping Xu, Edwin Hancock and Richard Wilson 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)
Removing noise from astronomical images using a pixel-specific noise model H.C. Burger, Bernhard Schölkopf and Stefan Harmeling Conference or Workshop Item Item not available online. (2011)
Reverse Multi-Label Learning James Petterson and Tiberio Caetano Conference or Workshop Item (2011)
Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity Peter Grünwald Conference or Workshop Item (2011)
Semi-supervised learning for WLAN positioning Teemu Pulkkinen, Teemu Roos and Petri Myllymäki Conference or Workshop Item (2011)
Sharp threshold for percolation on expanders Itai Benjamini, Stephane Boucheron, Gábor Lugosi and Raphael Rossignol Article Item not available online. (2011)
Similarity-Based Pattern Analysis and Recognition -- SIMBAD 2011 Book Item not available online. (2011)
Size of the Whole versus Number of Parts in Genomes Antoni Hernández-Fernández, Jaume Baixeries, Núria Forns and Ramon Ferrer-i-Cancho Article Item not available online. (2011)
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies Felix Agakov, Paul McKeigue, Jon Krohn and Amos Storkey Article Item not available online. (2011)
Spatial statistics, image analysis and percolation theory Mikhail Langovoy, Michael Habeck and Bernhard Schölkopf Conference or Workshop Item (2011)
Speedy Q-Learning Mohammad Azar, R. Munos, M. Ghavamzadaeh and Bert Kappen Conference or Workshop Item Item not available online. (2011)
Stochastic Optimal Control of State Constrained Systems Bart Broek, W. Wiegerinck and Bert Kappen Article Item not available online. (2011)
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 effect of patient positioning aids on PET quantification in PET/MR imaging Frederic Mantlik, Matthias Hofmann, Matthias K. Werner, Alexander Sauter, Jürgen Kupferschläger, Bernhard Schölkopf, Bernd J. Pichler and Thomas Beyer Article Item not available online. (2011)
The effect of patient positioning aids on PET quantification in PET/MR imaging F Mantlik, M Hofmann, MK Werner, A Sauter, J Kupferschläger, B Schölkopf, BJ Pichler and T Beyer Article Item not available online. (2011)
The Neural Autoregressive Distribution Estimator Hugo Larochelle and Iain Murray Article (2011)
Transfer Learning with Copulas David López-Paz and José Miguel Hernánez Lobato Conference or Workshop Item (2011)
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, Bernhard Schölkopf, N. Birbaumer and A. Gharabaghi Article 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)
Uncovering the Temporal Dynamics of Diffusion Networks Manuel Gomez Rodriguez, David Balduzzi and Bernhard Schölkopf Conference or Workshop Item (2011)
Uniqueness of non-Gaussianity-based dimension reduction Fabian Theis, Motoaki Kawanabe and Klaus-Robert Müller Article Item not available online. (2011)
What Cannot be Learned with Bethe Approximations Uri Heinemann and Amir Globerson Article (2011)
Word Features for Latent Dirichlet Allocation James Petterson, A.J. Smola, Tiberio Caetano, Wray Buntine and S Narayanamurthy Conference or Workshop Item (2011)
Subband Acoustic Waveform Front-End for Robust Speech Recognition Using Support Vector Machines J K Yousafzai, Z Cvetkovic and P Sollich Conference or Workshop Item (12 December 2010)
Reducing Model Bias in Reinforcement Learning Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (11 December 2010)
A Bayesian Petrophysical Decision Support System for Estimation of Reservoir Compositions Willem Burgers, Wim Wigerinck, Bert Kappen and Mirano Spalburg Article (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)
Bonaparte: Disaster Victim Identification System Willem Burgers and Wim Wiegerinck Conference or Workshop Item Item not available online. (December 2010)
Improvements to the Sequence Memoizer Jan Gasthaus and Yee Whye Teh Conference or Workshop Item (December 2010)
Large scale learning of combinatorial transcriptional dynamics from gene expression Shehzad Asif and Guido Sanguinetti Article Item not available online. (December 2010)
Modeling skin and ageing phenotypes using latent variable models in Infer.NET David Knowles, Leopold Parts, Daniel Glass and John Winn Conference or Workshop Item (December 2010)
PAC-Bayesian Analysis of Co-clustering and Beyond Yevgeny Seldin and Naftali Tishby Article (December 2010)
Robust Cutpoints in the Logical Analysis of Numerical Data Martin Anthony and Joel Ratsaby Monograph Item not available online. (December 2010)
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray and Ryan Adams Conference or Workshop Item (December 2010)
The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord George Giannakopoulos and Themis Palpanas Conference or Workshop Item (December 2010)
Learning structured models for string and tree structured data Amaury Habrard Thesis Item not available online. (29 November 2010)
Matching samples of multiple views Abhishek Tripathi, Arto Klami, Matej Orešič and Samuel Kaski Article (28 November 2010)
When Data Compression and Statistics Disagree: Two Frequentist Challenges for the Minimum Description Length Principle Tim Erven, van Thesis (23 November 2010)
Graphical Models for Time Series David Barber and Taylan Cemgil Article Item not available online. (10 November 2010)
Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio and Juha Karhunen Article (November 2010)
Computational Modeling of Human Language Acquisition Afra Alishahi Book Item not available online. (November 2010)
Efficient Reinforcement Learning using Gaussian Processes Marc Deisenroth Book (November 2010)
Generalization Bounds  Mark Reid Book (November 2010)
Feature Selection in a Cartesian Ensemble of Feature Subspace Classifiers for Music Categorisation Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Carlos Pérez-Sancho and José Iñesta Book Section Item availablity restricted. (25 October 2010)
Harmonic and Instrumental Information Fusion for Musical Genre Classification Tomás Pérez-García, Carlos Pérez-Sancho and José Iñesta Book Section Item availablity restricted. (25 October 2010)
The genetic basis of risk preferences Thorsten Dickhaus and Daniel Schunk Conference or Workshop Item Item not available online. (13 October 2010)
Combined features and kernel design for noise robust phoneme classification using support vector machines J K Yousafzai, Z Cvetkovic, P Sollich and B Yu Article (09 October 2010)
How normal can the t-statistic possibly be? Thorsten Dickhaus and Helmut Finner Conference or Workshop Item Item not available online. (07 October 2010)
Belief Propagation Yair Weiss and Judea Pearl Article (01 October 2010)
Discovering Non-binary Hierarchical Structures with Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Book Section (October 2010)
Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle Panu Luosto, Jyrki Kivinen and Heikki Mannila Conference or Workshop Item Item not available online. (October 2010)
Novel methods for probabilistic inference and learning in spiking neural networks Stefan Habenschuss Thesis Item not available online. (October 2010)
Refined statistical inference methods for contingency table analyses in genetic association studies Thorsten Dickhaus, Klaus Straßburger and Daniel Schunk Conference or Workshop Item Item not available online. (30 September 2010)
Distinguishing facial expression using the Fisher-Rao metric Simone Ceolin and Edwin Hancock Conference or Workshop Item Item not available online. (26 September 2010)
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models Book (13 September 2010)
A Coupled Statistical Model for Face Shape Recovery From Brightness Images Ioannis Patras and Edwin Hancock Article Item not available online. (September 2010)
Detecting events in a million New York Times articles Tristan Snowsill, Ilias Flaounas, Tijl De Bie and Nello Cristianini Article (September 2010)
Flu Detector - Tracking Epidemics on Twitter Vasileios Lampos, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2010)
Multilingual Information Access Evaluation I - Text Retrieval Experiments, 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers, Part I. Book Item not available online. (September 2010)
Online variational inference for state-space models with point process observations Andrew Zammit Mangion, Ke Yuan, visakan kadirkamanathan, Mahesan Niranjan and Guido Sanguinetti Article 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)
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010) Book (September 2010)
Proceedings of the Morpho Challenge 2010 workshop Book Item not available online. (September 2010)
Sparse Semi-supervised Learning Using Conjugate Functions John Shawe-Taylor and Shiliang Sun Article (September 2010)
Implicitly adaptive FDR control based on the asymptotically optimal rejection curve Thorsten Dickhaus, Helmut Finner and Veronika Gontscharuk Conference or Workshop Item Item not available online. (30 August 2010)
Mutual information based dimensionality reduction with application to non-linear regression Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (29 August 2010)
Auto-Calibration for Neonatal Condition Monitoring Ioan Stanculescu Thesis (27 August 2010)
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors Wouter Koolen and Tim Erven, van Monograph (27 August 2010)
Switching between Hidden Markov Models using Fixed Share Wouter Koolen and Tim Erven, van Monograph (26 August 2010)
Biological and Functional Models of Learning in Networks of Spiking Neurons Lars Büsing Thesis (24 August 2010)
A Supergraph-based Generative Model Lin Han, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)
Characterising Facial Gender Difference Using Fisher-Rao Metric Simone Ceolin and Edwin Hancock Conference or Workshop Item Item not available online. (23 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)
Heat Flow-Thermodynamic Depth Complexity in Networks Francisco Escolano, Miguel A. Lozano and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)
Rectifying Non-Euclidean Similarity Data using Ricci Flow Embedding Weiping Xu, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)
Robust Computation of the Polarisation Image Gule Saman and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)
Data Dependent Priors in PAC-Bayes Bounds John Shawe-Taylor, Emilio Parrado-Hernandez and Amiran Ambroladze Conference or Workshop Item (22 August 2010)
Commute-Time Convolution Kernels for Graph Clustering Normawati A. Rahman and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
Graph embedding using an Edge-based Wave Kernel Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
Ihara Coefficients: A Flexible Tool for Higher Order Learning Peng Ren, Tatjana Aleksic, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
Mining Exemplars for Object Modelling Using Affinity Propagation Shengping xia and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
Regularising the Ricci Flow Embedding Weiping Xu, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
Spherical Embedding and Classification Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach Francisco Escolano, Miguel A. Lozano, Edwin Hancock and Daniela Giorgi Conference or Workshop Item Item not available online. (18 August 2010)
Logic, Reasoning under Uncertainty and Causality Pedro A Ortega Article (16 August 2010)
On the consistency of sequentially normalized least squares Daniel Schmidt and Teemu Roos Conference or Workshop Item (16 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)
A Probabilistic Computational Model of Cross-Situational Word Learning Afsaneh Fazly, Afra Alishahi and Suzanne Stevenson Article Item not available online. (August 2010)
Integrating Syntactic Knowledge into a Model of Cross-situational Word Learning Afra Alishahi and Afsaneh Fazly Conference or Workshop Item Item not available online. (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)
The sixth annual MLSP competition, 2010 Kenneth E. Hild II, Mikko Kurimo and Vince D. Calhoun Conference or Workshop Item (August 2010)
Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Conference or Workshop Item (July 2010)
Morpho Challenge 2005-2010: Evaluations and results Mikko Kurimo, Sami Virpioja, Ville Turunen and Krista Lagus Conference or Workshop Item (July 2010)
Online Entropy-based Model of Lexical Category Acquisition Grzegorz Chrupala and Afra Alishahi Conference or Workshop Item Item not available online. (July 2010)
Remote Sensing Feature Selection by Kernel Dependence Measures Gustavo Camps-Valls, Joris Mooij and Bernhard Schölkopf 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)
A nonparametric information theoretic clustering algorithm Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (20 June 2010)
Contextualized question answering Luka Bradesko, Lorand Dali, Blaz Fortuna, Dunja Mladenić, Inna Novalija and Bostjan Pajntar Conference or Workshop Item Item not available online. (June 2010)
Enlarged Search Space for SITG Parsing Guillem Gascó, Joan Andreu Sánchez and José Miguel Benedí Conference or Workshop Item Item not available online. (June 2010)
Facial gender classification using shape-from-shading Jing Wu, William Smith and Edwin Hancock Article Item not available online. (June 2010)
Finding surprising patterns in textual data streams Tristan Snowsill, florent nicart, Marco Stefani, Tijl De Bie and Nello Cristianini Article (June 2010)
Geometric characterization and clustering of graphs using heat kernel embeddings Bai Xiao, Edwin Hancock and Richard Wilson Article Item not available online. (June 2010)
Not far away from home: A relational distance-based approach to understand images of houses Laura-Andreea Antanas, Martijn van Otterlo, José Antonio Oramas Mogrovejo, Tinne Tuytelaars and Luc De Raedt Conference or Workshop Item (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)
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo and Scott Sanner Conference or Workshop Item Item availablity restricted. (15 May 2010)
A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition Oya Aran and Lale Akarun Article Item not available online. (May 2010)
Constrained domain maximum likelihood estimation for naive Bayes text classification Jesús Andrés-Ferrer and Alfons Juan Article Item not available online. (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)
Quality-based Score Normalisation with Device Qualitative Information for Multimodal Biometric Fusion Norman Poh, Josef Kittler and Thirimahos Bourlai Article (May 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)
A Model of Semantics and Corrections in Language Learning Dana Angluin and Leonor Becerra Monograph Item not available online. (April 2010)
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation Vicenc¸ Gómez and Bert Kappen Article Item availablity restricted. (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)
Residual variance estimation using a nearest neighbor statistic Elia Liitiainen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (April 2010)
What is an object? Bogdan Alexe, Thomas Deselaers and Vittorio Ferrari Article Item availablity restricted. (31 March 2010)
μTOSS - Multiple hypotheses testing in an open software system Thorsten Dickhaus, Gilles Blanchard, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft Conference or Workshop Item Item not available online. (24 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)
Dynamic Regimes that are likely to support Probabilistic Inference in Distributed Networks of Spiking Neurons Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (01 March 2010)
On-line Learning Peter Auer Other Item availablity restricted. (01 March 2010)
Spike-based Expectation Maximization Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item (01 March 2010)
A New Imputation Method for Incomplete Binary Data Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer Article Item not available online. (March 2010)
A survey of cross-validation procedures for model selection Sylvain Arlot and Alain Celisse Article (March 2010)
Information Theoretic Novelty Detection Maurizio Filippone and Guido Sanguinetti Article Item availablity restricted. (March 2010)
Nonparametric Statistical Inference for Ergodic Processes Daniil Ryabko and Boris Ryabko Article (March 2010)
On the entropy production of time series with unidirectional linearity Dominik / DJ Janzing Article Item not available online. (March 2010)
Probability theory in machine learning Martin Anthony Book Section Item not available online. (March 2010)
Dynamical inference from a kinematic snapshot: the force law in the solar system Jo Bovy, Iain Murray and David W Hogg Article Item not available online. (22 February 2010)
X-SOM and L-SOM: A double classification approach for missing value imputation Paul Merlin, Antti Sorjamaa, Bertrand Maillet and Amaury Lendasse Article Item availablity restricted. (18 February 2010)
Relaxed regret minimization under average cost constraints Andrey Bernstein, Shie Mannor and Nahum Shimkin Conference or Workshop Item Item not available online. (17 February 2010)
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)
Convergence of the Bayesian Control Rule Pedro A Ortega and Daniel A Braun Article (16 February 2010)
Statistical approaches for natural language modelling and monotone statistical machine translation Jesús Andrés-Ferrer, Alfons Juan and Francisco Casacuberta Thesis Item availablity restricted. (05 February 2010)
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)
Distinguishing between cause and effect Joris Mooij and Dominik Janzing Article (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)
Kronecker graphs:an approach to modeling networks Jure Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos and Zoubin Ghahramani Article (February 2010)
On Finding Predictors for Arbitrary Families of Processes Daniil Ryabko Article Item not available online. (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)
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)
An information retrieval perspective on visualization of gene expression data with ontological annotation Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma and Samuel Kaski Conference or Workshop Item Item not available online. (08 January 2010)
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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)
Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Book Section (January 2010)
Learning Locally Minimax Optimal Bayesian Networks Tomi Silander, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (January 2010)
On-Line Sequential Bin Packing Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak Article Item not available online. (January 2010)
OP-ELM: Optimally Pruned Extreme Learning Machine Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten and Amaury Lendasse Article Item availablity restricted. (January 2010)
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)
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. (2010)
Applications of Supervised and Unsupervised Ensemble Methods Book Item not available online. (2010)
A Lower Bound for Learning Distributions Generated by Probabilistic Automata Borja Balle, Jorge Castro and Ricard Gavaldà Article Item availablity restricted. (2010)
A robust bayesian two-sample test for detecting intervals of differential gene expression in microarray time series Oliver Stegle, K Denby, E. J. Cooke, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Article (2010)
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Approximate Dynamic Programming with Affine ADDs Scott Sanner, W Uther and KV Delgado Conference or Workshop Item (2010)
Approximate inference in continuous time Gaussian-Jump processes Manfred Opper, Andreas Ruttor and Guido Sanguinetti Conference or Workshop Item Item not available online. (2010)
Approximate inference in continuous time Gaussian-Jump processes Manfred Opper, Andreas Ruttor and Guido Sanguinetti Article (2010)
Approximate parameter inference in a stochastic reaction-diffusion model Andreas Ruttor and Manfred Opper Article (2010)
Artificial Ants: from collective intelligence to real life optimization and beyond A. Hamdi, Violaine Antoine, N. Monmarché and M. Slimane Book Section Item not available online. (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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Auto-regressive independent process analysis without combinatorial efforts Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2010)
Autoregressive independent process analysis with missing observations Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2010)
Autoregressive independent process analysis with missing observations Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2010)
Bayesian networks on Dirichlet distributed vectors Wray Buntine, Lan Du and Petteri Nurmi Conference or Workshop Item (2010)
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures X Zhang, T Graepel and R Herbrich Conference or Workshop Item (2010)
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Causal Learning without DAGs David Duvenaud, Daniel Daniel Eaton, Kevin Murphy and Mark Schmidt Article Item availablity restricted. (2010)
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)
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Comment on: l1-penalization for mixture regression models Gábor Lugosi Article Item not available online. (2010)
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Convexity of Proper Composite Binary Losses Mark Reid and Bob Williamson Conference or Workshop Item (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)
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution Dilan Gorur and Carl Edward Rasmussen Article Item not available online. (2010)
Discovering transcriptional modules by bayesian data integration R S Savage, Zoubin Ghahramani, J E Griffin, B de la Cruz and D L Wild Article (2010)
Discrimination between B-processes is impossible Daniil Ryabko Article Item not available online. (2010)
Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited Helmut Finner and Thorsten Dickhaus Article Item not available online. (2010)
Elliptical slice sampling Iain Murray, Ryan Adams and David MacKay Article Item not available online. (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)
Global modeling of transcriptional responses in interaction networks Leo Lahti, Juha Knuuttila and Samuel Kaski Article Item not available online. (2010)
Graphical Models Julian McAuley, Tiberio Caetano and Wray Buntine Book Section Item not available online. (2010)
Hierarchical generative biclustering for microRNA expression analysis Jose Caldas and Samuel Kaski 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)
How to link call rate and $p$-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality Helmut Finner, Klaus Straßburger, Iris M. Heid, Christian Herder, Wolfgang Rathmann, Guido Giani, Thorsten Dickhaus, Peter Lichtner, Thomas Meitinger, Heinz-Erich Wichmann, Thomas Illig and Christian Gieger Article Item not available online. (2010)
Improved Fully Unsupervised Parsing with Zoomed Learning. Roi Reichart and Ari Rappoport Article (2010)
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes Ryan Adams, George E Dahl and Iain Murray Conference or Workshop Item Item not available online. (2010)
Inferring deterministic causal relations Povilas Daniušis, Dominik Janzing, Joris Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang and Bernhard Schölkopf Conference or Workshop Item (2010)
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI Morten Mørup, Kristoffer Madsen, Anne Marie Dogonowski, Hartwig Siebner and Lars Kai Hansen Article Item availablity restricted. (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 Guido Sanguinetti and Maurizio Filippone Article (2010)
Information Theoretic Novelty Detection Maurizio Filippone and Guido Sanguinetti Article (2010)
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Introduction to Machine Learning for Brain Imaging Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus and Klaus-Robert Müller Article 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)
μTOSS - Multiple hypothesis testing in an open software system Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft 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)
Latent Block Model for Contingency Table Gérard Govaert and Mohamed Nadif Article (2010)
Learning combinatorial transcriptional dynamics from gene expression data Manfred Opper and Guido Sanguinetti Article 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)
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)
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)
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)
MDL hierarchical clustering for stemmatology Po-Hsiang Lai, Teemu Roos and Joseph O'Sullivan Conference or Workshop Item Item not available online. (2010)
Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman and Raz Kupferman Article (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)
Near-optimal Regret Bounds for Reinforcement Learning Thomas Jaksch, Ronald Ortner and Peter Auer Article (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)
Nonparametric Regression between General Riemannian Manifolds Florian Steinke, Matthias Hein and Bernhard Schölkopf Article Item not available online. (2010)
On combinatorial testing problems Louigi Addario-Berry, Nicolas Broutin, Luc Devroye and Gábor Lugosi 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 Entropy-based Model of Lexical Category Acquisition Grzegorz Chrupala and Afra Alishahi Conference or Workshop Item Item not available online. (2010)
Online Learning for Multi-label and Multi-variate Performance Measures X Zhang, T Graepel and R Herbrich 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)
Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Article (2010)
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster Michael Dewar, visakan kadirkamanathan, Manfred Opper and Guido Sanguinetti Article (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)
Playing monotone games to understand learning behaviors Bruno Apolloni, Dario Malchiodi and Lorenzo Valerio Article Item not available online. (2010)
Predicting Relations in news-media content among EU countries Ilias Flaounas, Nick Fyson and Nello Cristianini Conference or Workshop Item Item not available online. (2010)
Probabilistic latent variable models for distinguishing between cause and effect Joris Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang and Bernhard Schölkopf Conference or Workshop Item (2010)
Probabilistic Learning of Boolean Functions Martin Anthony Book Section Item not available online. (2010)
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) Book Item not available online. (2010)
Ranking Relations using Analogies in Biological and Information Networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and Eduardo AIroldi Article Item not available online. (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)
Rapid Face Recognition Using Hashing Q Shi, Hanxi Li and Chunhua Shen Conference or Workshop Item (2010)
Rényi Divergence and Majorization Tim Erven, van and Peter Harremoes Article (2010)
Reward-modulated Hebbian Learning of Decision Making Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Article Item not available online. (2010)
Segmentation of the mean of heteroscedastic data via cross-validation Sylvain Arlot and Alain Celisse Article Item availablity restricted. (2010)
Semantic Label Sharing for Learning with Many Categories Robert Fergus, Hector Bernal, Yair Weiss and Antonio Torralba Article (2010)
Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2010)
Sequence prediction in realizable and non-realizable cases Daniil Ryabko Conference or Workshop Item Item not available online. (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)
Sparse Spectrum Gaussian Process Regression Miguel Lazaro-Gredilla, Joaquin Quinonero Candela, Carl Edward Rasmussen and Aníbal R. Figueiras-Vidal Article (2010)
Squinting at a Sea of Dots: Visualising Australian Readerships using Statistical Machine Learning JV Lamond and Mark Reid Book Section (2010)
State Estimation Schemes for Independent Component Coupled Hidden Markov Models WP Malcolm, Novi Quadrianto and Aggoun L Article (2010)
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda C Downey and Scott Sanner Conference or Workshop Item (2010)
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TFInfer: A Tool for Probabilistic Inference of Transcription Factor Activities Shehzad Asif, Matthew Rolfe, Jeff Green, Neil Lawrence, Magnus Rattray and Guido Sanguinetti Article 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)
Tomographic Considerations in Ensemble Bias/Variance Decomposition David Windridge Conference or Workshop Item Item not available online. (2010)
Traffic Classification in Information Poor Environments H. Rotsos, Jurgen van Gael and Andrew Moore Article Item not available online. (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 language automata for melody recognition Jose Francisco Bernabeu Briones, Jorge Calera-Rubio, José Iñesta and David Rizo Book Section 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)
Type Level Clustering Evaluation: New Measures and a POS Induction Case Study. Roi Reichart, Omri Abend and Ari Rappoport Article Item not available online. (2010)
UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem Peter Auer and Ronald Ortner Article Item not available online. (2010)
Uniform hypothesis testing for ergodic time series distributions Daniil Ryabko Conference or Workshop Item (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)
Wearable-sensor activity analysis using semi-Markov models with a grammar O Thomas, Peter Sunehag, G Dror, S Yun, S Kim, M Robards, A.J. Smola, D Green and P Saunders Article (2010)
Model selection by sequentially normalized least squares Jorma Rissanen, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (29 December 2009)
Distributed fading memory for stimulus properties in the primary visual cortex Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass Article Item availablity restricted. (22 December 2009)
Computing the stochastic complexity of simple probabilistic graphical models Tommi Mononen Thesis (12 December 2009)
Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item Item not available online. (12 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)
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo and Scott Sanner Conference or Workshop Item (07 December 2009)
Exponential Family Graph Matching and Ranking James Petterson, Tiberio Caetano, Julian McAuley and Jin Yu Conference or Workshop Item (06 December 2009)
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 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)
Advances in Neural Information Processing Systems 22 Book 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)
Machine learning for event selection in high energy physics S. Whiteson and D. Whiteson Article Item not available online. (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)
Semi-Supervised Learning via Generalized Maximum Entropy Ayse Naz Erkan and Yasemin Altun Conference or Workshop Item (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)
Computationally efficient methods for MDL-optimal density estimation and data clustering Petri Kontkanen Thesis (30 November 2009)
Level Set Gait Analysis for Synthesis and Reconstruction Sasan Mahmoodi Conference or Workshop Item (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)
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)
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)
Clustering and bifurcations in Gaussian mixture models Matthew Urry and Peter Sollich Monograph (November 2009)
Matching 2-D Ellipses to 3-D Circles with Application to Vehicle Pose Estimation Marcus Hutter, Nathan Brewer and Ahmed Rakib Conference or Workshop Item (November 2009)
Variational methods for Reinforcement Learning David Barber and Tom Furmston Conference or Workshop Item Item not available online. (November 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)
Distinguishing Cause and Effect via Second Order Exponential Models Dominik / DJ Janzing, Xiaohai / XS Sun and Bernhard / BS Schoelkopf Article Item not available online. (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)
Expectation Propagation on the Maximum of Correlated Normal Variables Philipp Hennig Article (02 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)
Canonical Horn Representations and Query Learning Marta Arias and José Balcázar Conference or Workshop Item (October 2009)
CONTEXTUALIZED VISUALIZATION OF ONTOLOGIES AND ONTOLOGY NETWORKS Bostjan Pajntar, Marko Grobelnik and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)
ENRYCHER – SERVICE ORIENTED TEXT ENRICHMENT Tadej Stajner, Delia Rusu, Blaz Fortuna, Dunja Mladenić and Marko Grobelnik Conference or Workshop Item Item not available online. (October 2009)
Improved Semantic Graphs with Word Sense Disambiguation Delia Rusu, Blaz Fortuna and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)
Learning event templates on news articles Mitja Trampus and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)
mBPCR: A Package for DNA Copy Number Profile Estimation Paola M.V. Rancoita and Marcus Hutter 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)
Probabilistic Temporal Process Model for Knowledge Processes: Handling a Stream of Linked Text Marko Grobelnik, Dunja Mladenić and Jure Ferlez Conference or Workshop Item 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)
Wireless Access Network Selection Enabled by Semantic Technologies Carolina Fortuna, B. Ivan, Luka Bradesko, Blaz Fortuna and M. Mohorcic Conference or Workshop Item Item not available online. (October 2009)
Telling cause from effect based on high-dimensional observations Dominik / DJ Janzing, Patrik / PH Hoyer and Bernhard / BS Schoelkopf Article Item not available online. (24 September 2009)
Gait Sequence Synthesis and Reconstruction Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (11 September 2009)
A probabilistic approach to melodic similarity Jose F. Bernabeu, Jorge Calera-Rubio, José Iñesta and David Rizo Conference or Workshop Item (07 September 2009)
Solving deterministic policy (PO)MPDs using Expectation-Maximisation and Antifreeze David Barber and Tom Furmston Article (07 September 2009)
Binary Principal Component Analysis in the Netflix Collaborative Filtering Task Laszlo Kozma, Alexander Ilin and Tapani Raiko Conference or Workshop Item (02 September 2009)
On the statistical estimation of Rényi entropies Elia Liitiainen, Amaury Lendasse and Francesco Corona Conference or Workshop Item Item availablity restricted. (01 September 2009)
A Monte Carlo AIXI Approximation Joel Veness, Kee Siong Ng, Marcus Hutter and David Silver Article (September 2009)
A Theory of Impedance Control based on Internal Model Uncertainty Djordje Mitrovic, Stefan Klanke, Adrian Haith and Sethu Vijayakumar Conference or Workshop Item Item not available online. (September 2009)
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)
Decision Rule-based Algorithm for Ordinal Classification based on Rank Loss Minimization Wojciech Kotlowski Conference or Workshop Item Item not available online. (September 2009)
Efficient Reinforcement Learning for Motor Control Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (September 2009)
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)
Thermodynamic efficiency of information and heat flow Armen / AA Allahverdyan, Dominik / DJ Janzing and Guenter /GM Mahler Article Item not available online. (September 2009)
Transductive segmentation of textured meshes Anne-Laure Chauve, Jean-Philippe Pons, Jean-Yves Audibert and Renaud Keriven Conference or Workshop Item Item not available online. (September 2009)
Some observations on the applicability of normalized compression distance to stemmatology Toni Merivuori and Teemu Roos Conference or Workshop Item (07 August 2009)
R/BHC: Fast bayesian Hierarchical clustering for microarray data R Savage, Katherine Heller, Y Xu, Zoubin Ghahramani, W. M. Truman, M Grant, K. J. Denby and D. L. Wild Article (06 August 2009)
A methodological framework for Monte Carlo probabilistic inference for diffusion processes. Omiros Papaspiliopoulos Book Section (05 August 2009)
Information, Divergence and Risk for Binary Experiments Mark Reid and Bob Williamson Article (05 August 2009)
Latent state models of primary user behavior for opportunistic spectrum access Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo and Ari Hottinen Conference or Workshop Item Item not available online. (04 August 2009)
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction Trevor Cohn and Phil Blunsom Conference or Workshop Item (August 2009)
A practical guide to model selection Isabelle Guyon Book Section (August 2009)
A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass Article Item not available online. (August 2009)
Improving the Confidence of Machine Translation Quality Estimates Lucia Specia, Marco Turchi, Zhuoran Wang, John Shawe-Taylor and Craig Saunders Conference or Workshop Item (August 2009)
MDL-based attribute models in naive Bayes classification Petri Myllymäki Conference or Workshop Item (August 2009)
Time-bounded incompressibility of compressible strings and sequences Edgar Daylight, Wouter Koolen and Paul Vitányi Article Item not available online. (August 2009)
Edgeworth expansions and rates of convergence for generalized self-normalized sums Thorsten Dickhaus and Helmut Finner Conference or Workshop Item Item not available online. (28 July 2009)
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)
Wahrscheinlichkeitstheoretische Grundlagen für False Discovery Rate-kontrollierende multiple Testprozeduren Thorsten Dickhaus Conference or Workshop Item Item not available online. (06 July 2009)
How to optimize sample in active learning : Dispersion, an optimum criterion for classification ? Benoit Gandar, Gaëlle Loosli and Guillaume Deffuant Conference or Workshop Item Item not available online. (02 July 2009)
A Lower Bound for the Capacity of the Discrete-Time Poisson Channel Alfonso Martinez Conference or Workshop Item Item not available online. (July 2009)
Bounds on marginal probability distributions Joris Mooij and Bert Kappen Conference or Workshop Item Item not available online. (July 2009)
Document Visualization Based on Semantic Graphs Delia Rusu, Blaz Fortuna, Dunja Mladenić, Marko Grobelnik and Ruben Sipoš Conference or Workshop Item Item not available online. (July 2009)
Error Probability of BICM in Fading Channels: Uniform Interleaving Analysis Alfonso Martinez and A. Guillén i Fàbregas Conference or Workshop Item Item not available online. (July 2009)
Information Rate Loss from Radiation Decoherence Alfonso Martinez Conference or Workshop Item Item not available online. (July 2009)
Open Problems in Universal Induction and Intelligence Marcus Hutter Article (July 2009)
Explicit probabilistic models for databases and networks Tijl De Bie Monograph Item not available online. (29 June 2009)
Identifying targets of transcriptionally regulated transcription factors using dynamical models Antti Honkela, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item availablity restricted. (27 June 2009)
False Discovery Rate and Asymptotics Thorsten Dickhaus Conference or Workshop Item Item not available online. (24 June 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. (14 June 2009)
Analyzing Movement Trajectories Using a Markov Bi-Clustering Method Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh and Moshe Abeles Article Item availablity restricted. (12 June 2009)
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)
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 Joint Estimation of CN and LOH Aberrations Marcus Hutter Conference or Workshop Item (June 2009)
Bit-Interleaved Coded Modulation Revisited: A Mismatched Decoding Perspective Alfonso Martinez, A. Guillén i Fàbregas, G. Caire and F.M.J. Willems Article 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)
Efficient Parallel Feature Selection for Steganography Problems Alberto Guillen, Antti Sorjamaa, Yoan Miche, Amaury Lendasse and Ignacio Rojas Book Section Item availablity restricted. (June 2009)
Generalization Bounds for Learning the Kernel Yiming Ying and Colin Campbell Article Item not available online. (June 2009)
Grammatical Inference as a Principal Component Analysis Problem Raphael Bailly, François Denis and Liva Ralaivola Conference or Workshop Item (June 2009)
Homogeneous Multi-Instance Learning with Arbitrary Dependence Sivan Sabato and Naftali Tishby Conference or Workshop Item (June 2009)
Hybrid Stochastic-Adversarial On-line Learning Alessandro Lazaric and Rémi Munos Conference or Workshop Item (June 2009)
Identifying confounders using additive noise models Dominik Janzing, Jonas Peters, Joris Mooij and Bernhard Schölkopf Conference or Workshop Item (June 2009)
Improving automatic video retrieval with semantic concept detection Markus Koskela, Mats Sjöberg and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)
Online Multi-task Learning with Hard Constraints Gábor Lugosi, Omiros Papaspiliopoulos and Gilles Stoltz Conference or Workshop Item (June 2009)
Optimal combination of SOM search in best-matching units and map neighborhood Mats Sjöberg and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)
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)
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)
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)
Sparse Markov source estimation via transformed Lasso Teemu Roos and Bin Yu Conference or Workshop Item (June 2009)
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)
PCSIM: a parallel simulation environment for neural circuits fully integrated with Python Dejan Pecevski, Thomas Natschläger and Klaus Schuch Article Item not available online. (22 May 2009)
What is the place of Machine Learning between Pattern Recognition and Optimization? Antoine Cornuéjols and Laurent Miclet Conference or Workshop Item (06 May 2009)
Estimating the accuracy of satellite ephemerides using the bootstrap method Josselin Desmars, Sylvain Arlot, Jean-Eudes Arlot, Valery Lainey and Alain Vienne Article Item availablity restricted. (03 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)
Discrépance et dispersion : des indicateurs optimaux en apprentissage ? Benoit Gandar, Gaëlle Loosli and Guillaume Deffuant Conference or Workshop Item Item not available online. (May 2009)
Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning Yongjun Liao, Mohamed Ali Kaafar, Bamba Gueye, François Cantin, Pierre Geurts and Guy Leduc Article Item not available online. (May 2009)
Genre classification using chords and stochastic language models Carlos Pérez-Sancho, David Rizo and José Iñesta Article Item availablity restricted. (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)
Past-future information bottleneck in dynamical systems Felix Creutzig, Amir Globerson and Naftali Tishby Article Item availablity restricted. (27 April 2009)
A New Perspective for Information Theoretic Feature Selection Gavin Brown Conference or Workshop Item (18 April 2009)
Choosing a Variable to Clamp: Approximate Inference Using Conditioned Belief Propagation Frederik Eaton and Zoubin Ghahramani Conference or Workshop Item Item not available online. (15 April 2009)
Identifying targets of transcriptionally regulated transcription factors using dynamical models Antti Honkela, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item not available online. (02 April 2009)
Visualization by linear projections as information retrieval Jaakko Peltonen Conference or Workshop Item Item not available online. (02 April 2009)
ALT '07 Special Issue Marcus Hutter and R.A. Servedio Article (April 2009)
Fast dependent components for fMRI analysis Eerika Savia, Arto Klami and Samuel Kaski Conference or Workshop Item Item not available online. (April 2009)
Learning exercise policies for american options Y Li, Csaba Szepesvari and D Schuurmans Conference or Workshop Item Item not available online. (April 2009)
Locally minimax optimal predictive modeling with Bayesian networks Tomi Silander, Teemu Roos and Petri Myllymäki Conference or Workshop Item (April 2009)
Mining probabilistic automata: a statistical view of sequential pattern mining Stéphanie Jacquemont, François Jacquenet and Marc Sebban Article Item not available online. (April 2009)
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (April 2009)
Transformations for Variational Factor Analysis to Speed up Learning Jaakko Luttinen, Alexander Ilin and Tapani Raiko Conference or Workshop Item (April 2009)
Strict FDR-control based on the asymptotically optimal rejection curve Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus Conference or Workshop Item Item not available online. (26 March 2009)
Strict FDR-control based on the asymptotically optimal rejection curve Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus Conference or Workshop Item Item not available online. (17 March 2009)
Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets Teemu Roos and Tuomas Heikkilä Article Item availablity restricted. (14 March 2009)
Gaussian Process Dynamic Programming Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Article (13 March 2009)
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli Karen Lemmens, Tijl De Bie, Thomas Dhollander, Sigrid De Keersmaecker, Inge Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jozef Vanderleyden, Julio Collado-Vides, Kristof Engelen and Kathleen Marchal Article Item not available online. (06 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)
Another look at indirect negative evidence Alexander Clark and Shalom Lappin Conference or Workshop Item (March 2009)
Exact Non-Parametric Bayesian Inference on Infinite Trees Marcus Hutter Article (March 2009)
Feature Dynamic Bayesian Networks Marcus Hutter Conference or Workshop Item (March 2009)
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)
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)
Pure exploration for multi-armed bandit problems Sébastien Bubeck, Rémi Munos and Gilles Stoltz Monograph (15 February 2009)
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors Wouter Koolen and Tim van Erven Conference or Workshop Item Item not available online. (13 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)
Data-driven Calibration of Penalties for Least-Squares Regression Sylvain Arlot and Pascal Massart Article Item not available online. (February 2009)
Finding interesting itemsets using a probabilistic model for binary databases Tijl De Bie Monograph 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)
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Monograph (February 2009)
Practical Robust Estimators under the Imprecise Dirichlet Model Marcus Hutter Article (February 2009)
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules Hong Sun, Tijl De Bie, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Mieke Verstuyf, Bart De Moor and Kathleen Marchal Article Item not available online. (30 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)
Bayesian DNA Copy Number Analysis Marcus Hutter Article (January 2009)
Coding on Countably Infinite alphabets Stephane Boucheron, Aurelien Garivier and Elisabeth Gassiat Article Item availablity restricted. (January 2009)
Coding on countably infinite alphabets Stephane Boucheron, Aurelien Garivier and Elisabeth Gassiat Article (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)
When training and test sets are different: characterising learning transfer Amos Storkey Book Section Item not available online. (January 2009)
An impossibility result for process discrimination Daniil Ryabko Conference or Workshop Item Item not available online. (2009)
Computational Intelligence and Machine Learning in Bioinformatics Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli Article Item availablity restricted. (2009)
Unsupervised stability-based ensembles to discover reliable structures in complex bio-molecular data Alberto Bertoni and Giorgio Valentini Book Section Item availablity restricted. (2009)
A Bernstein-von Mises Theorem for discrete probability distributions Stéphane Boucheron and Elisabeth Gassiat Article (2009)
A comparison 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 Article Item not available online. (2009)
A faster model selection criterion for OP-ELM and OP-KNN: HQ criterion Yoan Miche and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2009)
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization Lemm Steven, Klaus-Robert Müller and G Curio Article Item not available online. (2009)
A Lattice Approach to {B}ayesian Networks Peter Harremoes Conference or Workshop Item (2009)
A Lower Bound on the Sample Size needed to perform a Significant Frequent Pattern Mining Task Stéphanie Jacquemont, François Jacquenet and Marc Sebban Article Item not available online. (2009)
A MDL approach to HMM with Poisson and Gaussian emissions. Application to order indentification. Antoine Chambaz, Aurelien Garivier and Elisabeth Gassiat Article (2009)
A Probabilistic Framework for 3D Visual Object Representation Renaud Detry, Nicolas Pugeault and Justus Piater Article Item not available online. (2009)
A stability-based algorithm to validate hierarchical clusters of genes Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini and Giorgio Valentini Article (2009)
A Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (2009)
Accelerated Gibbs sampling for the Indian buffet process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (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 Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction S. Harmeling, S. Sra, M. Hirsch and B. Schölkopf Monograph (2009)
An integrated algorithmic procedure for the assessment and discovery of clusters in DNA microarray data. Roberto Avogadri, Alberto Bertoni and Giorgio Valentini Conference or Workshop Item Item not available online. (2009)
An introduction to kernel learning algorithms P.V. Gehler and B. Schölkopf Book Section Item not available online. (2009)
Approximate inference for stochastic reaction processes. Andreas Ruttor, Guido Sanguinetti and Manfred Opper Book Section (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)
Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser Roi Reichart and Ari Rappoport 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)
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)
Classification of co-expressed genes from DNA regulatory regions Giulio Pavesi and Giorgio Valentini Article Item availablity restricted. (2009)
Classification of sparse high-dimensional vectors. Yu. Ingster, C. Pouet and A.B. Tsybakov Article 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)
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)
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)
Computational Intelligence and Machine Learning in Bioinformatics Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli Article Item not available online. (2009)
Controlled complete ARMA independent process analysis Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)
Controlled complete ARMA independent process analysis Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)
Correlated non-parametric latent feature models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (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)
Data fusion based gene function prediction using ensemble methods. Matteo Re and Giorgio Valentini Conference or Workshop Item (2009)
Data Integration and Opportunities in Biological XML Data Management M. Mesiti, E. J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset Book Section Item not available online. (2009)
Data Integration and Opportunities in Biological XML Data Management M. Mesiti, E.J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset Book Section (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)
Diffeomorphic Dimensionality Reduction C. Walder and B. Schölkopf Conference or Workshop Item (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)
Does Dimensionality Reduction Improve the Quality of Motion Interpolation? Sebastian Bitzer, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (2009)
Dutch Bokks and Combinatorial Games Peter Harremoes Conference or Workshop Item (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)
Eliciting vague but proper maximal entropy priors in Bayesian experiments Nicolas Bousquet Article Item not available online. (2009)
Enhanced protein fold recognition through a novel data integration approach Yiming Ying, Kaizhu Huang and Colin Campbell Article (2009)
Ensemble based Data Fusion for Gene Function Prediction Matteo Re and Giorgio Valentini Article (2009)
Estimating Facial Reflectance Properties using Shape-from-shading William Smith and Edwin Hancock Article Item not available online. (2009)
Estimation of high-dimensional low rank matrices A. Rohde and A.B. Tsybakov Other (2009)
Exploration-exploitation trade-off using variance estimates in multi-armed bandits Jean-Yves Audibert, Remi Munos and Csaba Szepesvari Article (2009)
Exploring Scale-Induced Feature Hierarchies in Natural Images Jukka Perkiö, Tinne Tuytelaars and Wray Buntine Conference or Workshop Item Item not available online. (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 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 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)
Finiteness of Redundancy, Regret, Shtarkov Sums, and Jeffreys Integrals in Exponential Families Peter Grünwald and Peter Harremoes Conference or Workshop Item (2009)
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article (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)
Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE E Valen, O Winther, A Sandelin and P Carninci Article (2009)
Genome-wide hierarchical classification of gene function. Nicolò Cesa-Bianchi and Giorgio Valentini 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)
Graph characteristics from the heat kernel trace Bai Xiao, Richard Wilson and Edwin Hancock Article Item not available online. (2009)
GridR: An R-based tool for scientific data analysis in grid environments Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping and Anthony Assi Article Item availablity restricted. (2009)
Group Lasso with Overlaps and Graph Lasso laurent jacob, Guillaume Obozinski and Jean-Philippe Vert Book Section (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)
Hierarchical Learning of Dimensional Biases in Human Categorization Katherine Heller, Adam Sanborn and Nick Chater Conference or Workshop Item (2009)
Hybrid Stochastic-Adversarial On-line Learning Alessandro Lazaric and Rémi Munos Article (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)
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 for Detecting the Direction of Time Series Jonas Peters, Dominik Janzing and Arthur Gretton Article (2009)
Kernel Methods in Medical Imaging G. Charpiat, M. Hofmann and B. Schölkopf Book Section Item not available online. (2009)
Kernel Polytope Faces Pursuit Tom Diethe and Zakria Hussain Article (2009)
Latent grouping models for user preference prediction Eerika Savia, Kai Puolamäki and Samuel Kaski Article Item not available online. (2009)
Learning from multi-level behaviours in agent-based simulations: A Systems Biology application Chih-Chun Chen and David Hardoon Article 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 with incomplete information in the Committee Machine Urs M Bergmann, Reimer Kuehn and Ion O Stamatescu Article (2009)
Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Leiva, Yasemin Altun and Gunnar Raetsch 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)
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)
MDL denoising revisited Teemu Roos, Petri Myllymäki and Jorma Rissanen Article (2009)
Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman and Raz Kupferman Conference or Workshop Item (2009)
Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman and Raz Kupferman Article (2009)
Model selection by resampling penalization Sylvain Arlot Article (2009)
Modelling image complexity by independent component analysis, with application to content-based image retrieval Jukka Perkiö and Aapo Hyvärinen Conference or Workshop Item 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-task Gaussian Process Learning of Robot Inverse Dynamics Kian Ming Chai, Christopher Williams, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (2009)
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Book Section (2009)
Noisy Independent Factor Analysis Model for Density Estimation and Classification U. Amato, A. Antoniadis, A. Samarov and A.B. Tsybakov Other (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 Schoelkopf Article (2009)
On concentration of self-bounding functions Stephane Boucheron, Gábor Lugosi and Pascal Massart Article Item not available online. (2009)
On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padraic Smyth and Yee Whye Teh Conference or Workshop Item (2009)
On the False Discovery Rate and an Asymptotically Optimal Rejection Curve Helmut Finner, Thorsten Dickhaus and Markus Roters Article (2009)
Online blind deconvolution for Astronomy S. Harmeling, M. Hirsch, S. Sra and B. Schölkopf 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)
Optimization of k-Space Trajectories by Bayesian Experimental Design M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Conference or Workshop Item Item not available online. (2009)
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. Yevgeny Seldin and Naftali Tishby Article (2009)
Probabilistic models for incomplete multi-dimensional arrays Wei Chu and Zoubin Ghahramani Conference or Workshop Item (2009)
Prostate Cancer Classification using Multispectral Imagery and Meta Heuristics Muhammad Tahir, Ahmed Bouridane and M.A. Roula Book Section Item not available online. (2009)
Prototype Classification: Insights from Machine Learning A.B.A. Graf, O. Bousquet, G. Rätsch and B. Schölkopf Article (2009)
Pure Exploration in Multi-armed Bandits Problems Sébastien Bubeck, Rémi Munos and Gilles Stoltz Article Item not available online. (2009)
R/BHC:Fast Bayesian Hierarchical Clustering for Microarray Data R.S. Savage, Katherine Heller, Yang Xu, Zoubin Ghahramani, W.M. Truman, M. Grant, K.J. Denby and David Wild Article (2009)
Ranking in the algebra of the symmetric group Risi Kondor and Marconi Barbosa Conference or Workshop Item (2009)
Ranking Interesting Subgroups Stefan Rüping Conference or Workshop Item Item availablity restricted. (2009)
Regret and Jeffreys Integrals in Exp. Families Peter Grünwald and Peter Harremoes Conference or Workshop Item (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)
Reinforcement learning algorithms for MDPs Csaba Szepesvari Article Item not available online. (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. (2009)
Residual Variance Estimation in Machine Learning Elia Liitiäinen, Michel Verleysen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (2009)
Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures Roi Reichart and Ari Rappoport Conference or Workshop Item (2009)
Scale Invariance and Noise in Natural Images Daniel Zoran and Yair Weiss Article (2009)
Semi-Supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss and Antonio Torralba Article (2009)
Sparse classification boundaries Yu. Ingster, C. Pouet and A.B. Tsybakov Other (2009)
Sparse online model learning for robot control with support vector regression D. Nguyen-Tuong, B. Schölkopf and J. Peters Conference or Workshop Item Item not available online. (2009)
Sparse online model learning for robot control with support vector regression D. Nguyen-Tuong, B. Schölkopf and J. Peters Conference or Workshop Item Item not available online. (2009)
Sparse online model learning for robot control with support vector regression D. Nguyen-Tuong, B. Schölkopf and J. Peters Conference or Workshop Item Item not available online. (2009)
Spatial Normalized Gamma Processes Vinayak Rao and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)
Statistical decision making for authentication and intrusion detection C. Dimitrikakis and A. Mitrokotsa Conference or Workshop Item (2009)
Supervised Selective Combining Pattern Recognition Modalities and its Application to Signature Verification by Fusing On-Line and Off-Line Kernels Alexander Tatarchuk, Valentina Sulimova, David Windridge and Vadim Mottl Conference or Workshop Item Item not available online. (2009)
Switching Regulatory Models of Cellular Stress Response. Guido Sanguinetti, Andreas Ruttor and Manfred Opper Article Item not available online. (2009)
Taking advantage of sparsity in multi-task learning. K. Lounici, M. Pontil, A.B. Tsybakov and S. van de Geer Conference or Workshop Item (2009)
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation Dotan Di Castro, Dmitry Volkinshtein and Ron Meir Book (2009)
Testing goodness-of-t via rate distortion Peter Harremoes Conference or Workshop Item (2009)
The "Tree-Dependent Components" of Natural Images are Edge Filters Daniel Zoran and Yair Weiss Article (2009)
The block diagonal infinite hidden markov model T Stepleton, Zoubin Ghahramani, G Gordon and T. S. Lee Conference or Workshop Item (2009)
The Feature Importance Ranking Measure Alexander Zien, Nicole Krämer, Sören Sonnenburg and Gunnar Rätsch Conference or Workshop Item Item not available online. (2009)
The Feature Importance Ranking Measure Alexander Zien, Nicole Krämer, Sören Sonnenburg and Gunnar Raetsch Conference or Workshop Item (2009)
The Gaussian Process Density Sampler Ryan Adams, Iain Murray and David MacKay Article (2009)
The Infinite Hierarchical Hidden Markov Model Katherine Heller, Yee Whye Teh and Dilan Gorur Conference or Workshop Item (2009)
The NVI Clustering Evaluation Measure Roi Reichart and Ari Rappoport Conference or Workshop Item (2009)
The Variational Gaussian Approximation Revisited. Manfred Opper and Cedric Archambeau Article (2009)
Time series modeling by a regression approach based on a latent process Faicel Chamroukhi, Allou Samé, Gérard Govaert and Patrice Aknin Article Item not available online. (2009)
Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer Article (2009)
Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques M. Hofmann, B. Pichler, B. Schölkopf and T. Beyer Article (2009)
Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities Ryan Adams, Iain Murray and David MacKay Article (2009)
Training parsers by inverse reinforcement learning G Neu and Csaba Szepesvari Article Item not available online. (2009)
Tree-based inference for dirichlet process mixtures Yang Xu, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)
Tree-Based Inference for Dirichlet Process Mixtures Yang Xu, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)
Tree-Structured Stick Breaking Processes for Hierarchical Modeling Ryan Adams, Zoubin Ghahramani and Michael Jordan Conference or Workshop Item (2009)
Tree-structured stick-breaking processes for hierarchical modeling Ryan Adams, Zoubin Ghahramani and M. I. Jordan Conference or Workshop Item (2009)
True Path Rule Hierarchical Ensembles Giorgio Valentini Article (2009)
Unsupervised and constrained dirichlet process mixture models for verb clustering Andreas Vlachos, Anna Korhonen and Zoubin Ghahramani Conference or Workshop Item (2009)
Unsupervised stability-based ensembles to discover reliable structures in complex bio-molecular data Alberto Bertoni and Giorgio Valentini Book Section (2009)
Using data compressors to construct order tests for homogeneity and component independence Daniil Ryabko and Juergen Schmidhuber Article Item not available online. (2009)
Using Dependencies to Pair Samples for Multi-View Learning Abhishek Tripathi, Arto Klami and Samuel Kaski Conference or Workshop Item Item not available online. (2009)
Using Term-matching Algorithms for the Annotation of Geo-services Miha Grcar, Eva Klien and Blaz Novak Monograph Item not available online. (2009)
X-SOM and L-SOM: a Nested Approach for Missing Value Imputation Paul Merlin, Antti Sorjamaa, Bertrand Maillet and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2009)
Suboptimality of penalties proportional to the dimension for model selection in heteroscedastic regression Sylvain Arlot Other (16 December 2008)
Two-level infinite mixture for multi-domain data. Simon Rogers, Arto Klami, J Sinkkonen, Mark Girolami and Samuel Kaski Conference or Workshop Item Item availablity restricted. (13 December 2008)
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Conference or Workshop Item (09 December 2008)
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Conference or Workshop Item (09 December 2008)
On Recurrence Formulas for Computing the Stochastic Complexity Tommi Mononen and Petri Myllymäki Conference or Workshop Item Item availablity restricted. (07 December 2008)
Stochastic text models for music categorization Carlos Pérez-Sancho, David Rizo and José Iñesta Article (02 December 2008)
A Hebbian Learning Rule for Optimal Decision Making Michael Pfeiffer, Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (December 2008)
An efficient search algorithm for content-based image retrieval with user feedback Alex Leung and Peter Auer Article Item not available online. (December 2008)
Bit-Interleaved Coded Modulation Albert Guillén i Fàbregas, Alfonso Martinez and Giuseppe Caire Book Item not available online. (December 2008)
Bit-Interleaved Coded Modulation in the Wideband Regime Alfonso Martinez, Albert Guillén i Fàbregas, Giuseppe Caire and Frans Willems Article Item not available online. (December 2008)
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien, Fei Sha and Michael I. Jordan Article (December 2008)
Identifying differentially expressed subnetworks with MMG Josselin Noirel, Guido Sanguinetti and Phillip C. Wright Article Item not available online. (December 2008)
Magic Moments for Structured Output Prediction elisa ricci, Tijl De Bie and Nello Cristianini Article Item not available online. (December 2008)
On Nonparametric Residual Variance Estimation Elia Liitiäinen, Francesco Corona and Amaury Lendasse Article Item not available online. (December 2008)
Parameter estimation of ODE’s via nonparametric estimators Nicolas J-B. Brunel Article (December 2008)
Stacked Dependency Networks for Layout Document Structuring Boris Chidlovskii and Loic Lecerf Article Item not available online. (December 2008)
Use of Structured Pattern Representations for Combining Classifiers Raisa Socorro and Luisa Mico Conference or Workshop Item Item availablity restricted. (December 2008)
Compressing spectral data using optimised Gaussian basis Tuomas Kärna, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (29 November 2008)
Learning Nonlinear Visual Processing from Natural Images Jussi T. Lindgren Thesis (28 November 2008)
Learning the Switching Rate by Discretising Bernoulli Sources Online Steven de Rooij and Tim Erven, van Article (05 November 2008)
Identifying interface elements implied in protein-protein interactions using statistical tests and Frequent Item Sets Christine Martin and Antoine Cornuéjols Conference or Workshop Item (03 November 2008)
A Convergent Single Time Scale Actor Critic Algorithm Dotan Di Castro and Ron Meir Article Item availablity restricted. (November 2008)
Identifying Graph Clusters using Variational Inference and links to Covariance Parameterisation David Barber Article (November 2008)
Introduction to semantic knowledge managment John Davies, Marko Grobelnik and Dunja Mladenić Book Section Item not available online. (November 2008)
Optimism in the Face of Uncertainty Should be Refutable Ronald Ortner Article Item not available online. (November 2008)
Probabilistic Inference for Fast Learning in Control Carl Edward Rasmussen and Marc Deisenroth Book Section (November 2008)
SemanticTechnology for capturing communication inside an organization Marko Grobelnik, Dunja Mladenić and Blaz Fortuna Book Section Item not available online. (November 2008)
Switching Regulatory Models of Cellular Stress Response Guido Sanguinetti, Andreas Ruttor, Manfred Opper and Cedric Archambeau Article Item not available online. (November 2008)
Variational Bayes learning from relevant tasks only Jaakko Peltonen, Yusuf Yaslan and Samuel Kaski Conference or Workshop Item (31 October 2008)
A New Distance Measure for Model-Based Sequence Clustering Dario Garcia-Garcia, Emilio Parrado-Hernandez and Fernando Diaz-de-MAria Article (16 October 2008)
Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Conference or Workshop Item Item not available online. (16 October 2008)
A Uniform Lower Error Bound for Half-space Learning Andreas Maurer and Massimiliano Pontil Conference or Workshop Item Item not available online. (13 October 2008)
Exploiting Cluster-Structure to Predict the Labeling of a Graph Mark Herbster Conference or Workshop Item (13 October 2008)
19th International Conference on Algorithmic Learning Theory, ALT 2008, Proceedings Book Item not available online. (02 October 2008)
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces Andreas Maurer and Massimiliano Pontil Conference or Workshop Item (October 2008)
Learning and Generalization with the Information Bottleneck Ohad Shamir, Sivan Sabato and Naftali Tishby Conference or Workshop Item (October 2008)
Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Book Section Item not available online. (October 2008)
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd and Jaakko Hollmen Book Section Item availablity restricted. (October 2008)
Spatio-Temporal Road Condition Forecasting With Markov Chains and Artificial Neural Networks Konsta Sirvio and Jaakko Hollmen Article Item availablity restricted. (30 September 2008)
Weather Talk - extracting weather information by text mining Vasileios Lampos Thesis (30 September 2008)
Wavelength selection using the measure of topological relevance on the Self-Organizing Map Francesco Corona, Satu-Pia Reinikainen, Kari Aalioki, Anniki Perkkiö, Elia Liitiäinen, Roberto Baratti, Amaury Lendasse and Olli Simula Article Item availablity restricted. (29 September 2008)
A Bayesian Approach to Learning in Fault Isolation Anna Pernestål, Hannes Wettig, Tomi Silander, Matias Nyberg and Petri Myllymäki Conference or Workshop Item (22 September 2008)
Automatic Detection of Onset and Cessation of Tree Stem Radius Increase using Dendrometer Data and CUSUM Charts Mika Sulkava, Harri Mäkinen, Pekka Nöjd and Jaakko Hollmen Article (17 September 2008)
Computing the Multinomial Stochastic Complexity in Sub-Linear Time Tommi Mononen and Petri Myllymäki Conference or Workshop Item (17 September 2008)
Factorized normalized maximum likelihood criterion for learning Bayesian network structures Tomi Silander, Teemu Roos, Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (17 September 2008)
Module extraction in autoregressive models : application to gene regulatory networks inference. Nicolas J-B. Brunel, Yousri Slaoui and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (13 September 2008)
Probabilistic approach to detecting dependencies between data sets Arto Klami and Samuel Kaski Article Item not available online. (13 September 2008)
When is there a representer theorem? Vector versus matrix regularizers Andreas Argyriou, Charles Micchelli and Massimiliano Pontil Article Item not available online. (09 September 2008)
Instance or Prototype Selection for Function Approximation using Mutual Information Alberto Guillén, Luis Herrera, Gines Rubio Rubio, Amaury Lendasse, Hector Pomares and Ignacio Rojas Conference or Workshop Item Item availablity restricted. (07 September 2008)
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)
Learning the Coordinate Gradients Yiming Ying, Qiang Wu and Colin Campbell Article Item not available online. (September 2008)
Scalable Feature Selection for Multi-class Problems Boris Chidlovskii and Loic Lecerf Conference or Workshop Item Item not available online. (September 2008)
Selective Breeding Analysed as a Communication Channel Chris Watkins Conference or Workshop Item Item availablity restricted. (September 2008)
When Is There a Representer Theorem? Vector versus Matrix Regularizers Andreas Argyriou, Charles Micchelli and Massimiliano Pontil Article (September 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)
On sequentially normalized maximum likelihood models Teemu Roos and Jorma Rissanen Conference or Workshop Item (18 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)
Unsupervised Morpheme Analysis Evaluation by IR experiments -- Morpho Challenge 2008 Mikko Kurimo and Ville Turunen Conference or Workshop Item (15 August 2008)
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities Pei Gao, Antti Honkela, Magnus Rattray and Neil Lawrence Article Item availablity restricted. (15 August 2008)
Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing S. L. Bridle, John Shawe-Taylor and +29 co-authors from astronomy backgrounds Article Item not available online. (07 August 2008)
Bayesian Reinforcement Learning with Gaussian Process Temporal Difference Methods Yaki Engel, Shie Mannor and Ron Meir Monograph Item availablity restricted. (August 2008)
Partial Least Squares Regression for Graph Mining Hiroto Saigo, Nicole Krämer and Koji Tsuda Conference or Workshop Item (August 2008)
On the Multinomial Stochastic Complexity and its Connection to the Birthday Problem Tommi Mononen and Petri Myllymäki Conference or Workshop Item Item availablity restricted. (14 July 2008)
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices David Barber Article (09 July 2008)
On-line sequential bin packing Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak Conference or Workshop Item Item availablity restricted. (09 July 2008)
Adaptive aggregation for Reinforcement Learning with efficient exploration: deterministic domains Andrey Bernstein and Nahum Shimkin Conference or Workshop Item Item not available online. (July 2008)
Algorithms for parameter estimation of differential equations based on nonparametric estimators Nicolas J-B. Brunel and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (July 2008)
An Empirical Comparison of NML Clustering Algorithms Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (July 2008)
Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma Tim Erven, van, Peter Grünwald and Steven de Rooij Article (July 2008)
Coding and Modulation for the Additive Exponential Noise Channel Alfonso Martinez Conference or Workshop Item Item not available online. (July 2008)
Genre classification of music by tonal harmony Carlos Pérez-Sancho, David Rizo, Stefan Kersten and Rafael Ramirez Conference or Workshop Item (July 2008)
Inferring sparse kernel combination and relevance vectors: an application to subcelluar localization of proteins Theo Damoulas, Yiming Ying, Mark Girolami and Colin Campbell Article Item not available online. (July 2008)
On the role of information theoretic uncertainty relations in quantum physics Peter Harremoes and P. Jizba Conference or Workshop Item Item not available online. (July 2008)
Transductive learning and computer vision Jean-Yves Audibert Conference or Workshop Item Item not available online. (July 2008)
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)
Text classification with a Primal SVM endowed with domain knowledge Emilio Parrado-Hernandez and David Hardoon Monograph (08 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)
Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin and Tapani Raiko Monograph (June 2008)
Integrated Gene Copy Number and Expression Microarray Analysis of Gastric Cancer Highlights Potential Target Genes Samuel Myllykangas, Siina Junnila, Arto Kokkola, Reija Autio, Ilari Scheinin, Tuula Kiviluoto, Marja-Liisa Karjalainen-Lindsberg, Jaakko Hollmen, Sakari Knuutila, Pauli Puolakkainen and Outi Monni Article Item availablity restricted. (27 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)
Classification of human cancers based on DNA copy number amplification modeling Samuel Myllykangas, Jarkko Tikka, Tom Böhling, Sakari Knuutila and Jaakko Hollmen Article Item not available online. (14 May 2008)
A Machine Learning (Theory) Perspective on Computer Vision Peter Auer Conference or Workshop Item (09 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)
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)
Computing the NML for Bayesian Forests via Matrices and Generating Polynomials Tommi Mononen and Petri Myllymäki Conference or Workshop Item Item availablity restricted. (05 May 2008)
Monte Carlo estimation of minimax regret with an application to MDL model selection Teemu Roos Conference or Workshop Item (05 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)
Properties of Classical and Quantum Jensen Shannon Divergence J. Briet, Peter Harremoes and F. Topsoe Article (May 2008)
A Sequential Input Selection Algorithm for Long-term prediction of Time Series Jarkko Tikka and Jaakko Hollmen Article Item availablity restricted. (29 April 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)
Margin adaptive model selection in statistical learning Sylvain Arlot and Peter L. Bartlett Article Item not available online. (18 April 2008)
Pathways affected by asbestos exposure in normal and tumour tissue of lung cancer patients Salla Ruosaari, Tuija Hienonen-Kempas, Anne Puustinen, Virinder K. Sarhadi, Jaakko Hollmen, Sakari Knuutila, Juha Saharinen, Harriet Wikman and Sisko Anttila Article Item not available online. (14 April 2008)
MMG: a probabilistic tool to identify submodules of metabolic pathways Guido Sanguinetti, Josselin Noirel and Phillip C. Wright Article (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)
Segmentation by transduction Olivier Duchenne, Jean-Yves Audibert, Renaud Keriven, Jean Ponce and Florent Ségonne Conference or Workshop Item Item not available online. (April 2008)
Tracking the Best Quantizer Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item availablity restricted. (April 2008)
Aberrations of chromosome 19 in asbestos-associated lung cancer and in asbestos-induced micronuclei of bronchial epithelial cells in vitro Salla Ruosaari, Penny Nymark, Mervi Aavikko, Eeva Kettunen, Sakari Knuutila, Jaakko Hollmen, Hannu Norppa and Sisko Anttila Article Item availablity restricted. (13 March 2008)
Agglomerative independent variable group analysis Antti Honkela, Jeremias Seppä and Esa Alhoniemi Article Item availablity restricted. (March 2008)
Consistence of various phi-divergence statistics Peter Harremoes and Igor Vajda Other (March 2008)
Dimensionality reduction for clustered data sets Guido Sanguinetti Article (March 2008)
Discovering multi–level structures in bio-molecular data through the Bernstein inequality Alberto Bertoni and Giorgio Valentini Article (March 2008)
Information rates of radiation as a photon gas Alfonso Martinez Article Item not available online. (March 2008)
Simple integrative preprocessing preserves what is shared in data sources Abhishek Tripathi, Arto Klami and Samuel Kaski Article Item not available online. (21 February 2008)
Combining Expert Advice Efficiently Wouter Koolen and Steven de Rooij Conference or Workshop Item Item not available online. (20 February 2008)
Letting Stones Go Unturned Peter Bentley Article (06 February 2008)
Bayesian network structure learning using factorized NML universal models Teemu Roos, Tomi Silander, Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (01 February 2008)
Empirical Bernstein stopping Volodymyr Mnih, Csaba Szepesvari and Jean-Yves Audibert Conference or Workshop Item Item not available online. (February 2008)
Quantization for nonparametric regression Laszlo Gyorfi and Marten Wegkamp Article (February 2008)
Robust matching and recognition using context-dependent kernels Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabarisoa and Renaud Keriven Conference or Workshop Item Item not available online. (February 2008)
Self-consistent multiple testing procedures Gilles Blanchard and Étienne Roquain Article Item availablity restricted. (February 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)
A general definition of conditional information and its application to ergodic decomposition Lukasz Debowski Article Item availablity restricted. (15 January 2008)
The Desktop Doctor Peter Bentley Article (14 January 2008)
Continuous Time Particle Filtering for fMRI Lawrence Murray and Amos Storkey Article Item not available online. (January 2008)
Discriminative and generative machine learning approaches towards robust phoneme classification Jibran Yousafzai, Matthew Ager, Zoran Cvetkovic and Peter Sollich 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)
Modelling motion primitives and their timing in biologically executed movements Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2008)
Modelling motion primitives and their timing in biologically executed movements Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2008)
Ensemble Clustering with a Fuzzy Approach R Avogadri and Giorgio Valentini Book Section (2008)
Filtering systems of coupled stochastic differential equations partially observed at high frequency Paul Fearnhead, Omiros Papaspiliopoulos, Gareth Roberts and Andrew Stuart Article Item not available online. (2008)
POIMs: Positional Oligomer Importance Matrices - Understanding Support Vector Machine Based Signal Detectors Alexander Zien, Sören Sonnenburg, Petra Philips and Gunnar Rätsch Article Item not available online. (2008)
Proceedings of the the Second Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA) Book (2008)
A Kernel Statistical Test of Independence A. Gretton, K. Fukumizu, C.H. Teo, L. Song, B. Schölkopf and A.J. Smola Book Section (2008)
A learning rule for very simple universal approximators consisting of a single layer of perceptrons Peter Auer, Harald Burgsteiner and Wolfgang Maass Article Item not available online. (2008)
A methodology for Building Regression Models using Extreme Learning Machine: OP-ELM Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2008)
A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution Pedro Delicado and M. Goria Article Item not available online. (2008)
A Sparsity Driven Kernel Machine Based on Minimizing a Generalization Error Bound Dori Peleg and Ron Meir Article (2008)
A variable selection approach based on the Delta Test for Extreme Learning Machine models Fernando Mateo and Amaury Lendasse Conference or Workshop Item (2008)
Algebraic solutions to the connectivity problem for $m$-way layouts: interaction-contrast aliasing Henry Wynn Article Item not available online. (2008)
Algorithmic Information Theory Peter Grünwald and Paul Vitányi Book Section (2008)
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration Christos Dimitrakakis and Michail G. Lagoudakis Conference or Workshop Item (2008)
Algorithms for Infinitely Many-Armed Bandits Yizao Wang, Rémi Munos and Jean-Yves Audibert Conference or Workshop Item (2008)
An Algorithm for Transfer Learning in a Heterogeneous Environment Andreas Maurer and Massimiliano Pontil Conference or Workshop Item (2008)
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)
An algorithm to assess the reliability of hierarchical clusters in gene expression data R. Avogadri, M. Brioschi, F. Ruffino, F. Ferrazzi, A. Beghini and Giorgio Valentini Book Section (2008)
An Analysis of Inference with the Universum F.H. Sinz, O. Chapelle, A. Agarwal and B. Schölkopf Book Section (2008)
Approximations for Binary Gaussian Process Classification Hannes Nickisch and Carl Edward Rasmussen Article (2008)
Aspects of discrete mathematics and probability in the theory of machine learning Martin Anthony Article Item not available online. (2008)
Aspects of discrete mathematics and probability in the theory of machine learning Martin Anthony 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)
Automatic 3D Face Reconstruction from Single Images or Video P. Breuer, K.I. Kim, W. Kienzle, B. Schölkopf and V. Blanz Book Section (2008)
Automatic Image Colorization Via Multimodal Predictions G. Charpiat, M. Hofmann and B. Schölkopf Book Section (2008)
Bayesian Exponential Family PCA Shakir Mohamed, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2008)
Bayesian Kernel Shaping for Control Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar and Stefan Schaal Conference or Workshop Item (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)
BayesMD: flexible biological modeling for motif discovery M Tang, A Krogh and O Winther Article (2008)
Block clustering with Bernoulli mixture models: Comparison of different approaches Gérard Govaert and Mohamed Nadif Article Item not available online. (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)
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 inference using the algorithmic Markov condition Dominik Janzing and Bernhard Schoelkopf Article (2008)
Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods X. Sun, D. Janzing and B. Schölkopf Article (2008)
Consistency of random forests and other averaging classifiers Gérard Biau, Luc Devroye and Gábor Lugosi 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)
Dataset Complexity Can Help to Generate Accurate Ensembles of K-Nearest Neighbors Oleg Okun and Giorgio Valentini Conference or Workshop Item (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)
Efficient Bayesian Methods for Clustering Katherine Heller Thesis (2008)
Empirical Bernstein Stopping Vladimir Mnih, Csaba Szepesvari and Jean-Yves Audibert Conference or Workshop Item (2008)
Entropy concentration and the empirical coding game Peter Grünwald Article (2008)
ESTSP 2008: Proceedings Book Item availablity restricted. (2008)
Factorized NML models Petri Myllymäki, Teemu Roos, Tomi Silander, Petri Kontkanen and Henry Tirri Book Section (2008)
Festschrift in Honor of Jorma Rissanen on the Occasion of his 75th Birthday Book Item not available online. (2008)
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)
Gaussian Process Product Models for Nonparametric Nonstationarity Ryan Adams and Oliver Stegle Article (2008)
Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning F. Jäkel, B. Schölkopf and F.A. Wichmann Article (2008)
Genomic Profiles Associated with Early Micrometastatis in Lung Cancer: Relevance of 4q Deletion Michaela Wrage, Salla Ruosaari, Paul P. Eijk, Jussuf T. Kaifi, Jaakko Hollmen, Emre F. Yekebas, Jacob R. Izbicki, Ruud H. Brakenhoff, Thomas Streichert, Sabine Riethdorf, Bauke Ylstra, Klaus Pantel and Harriet Wikman Article Item not available online. (2008)
Gibbs Sampling in Factorized Continuous-Time Markov Processes Tal El-Hay, Nir Friedman and Raz Kupferman Conference or Workshop Item (2008)
Gibbs Sampling in Factorized Continuous-Time Markov Processes Tal El-Hay, Nir Friedman and Raz Kupferman Article (2008)
Graphical model inference in optimal control of stochastic multi-agent systems. Bart Broek, Wim Wiegerinck and Bert Kappen Article (2008)
Improving on Expectation Propagation M Opper, U Paquet and O Winther Conference or Workshop Item (2008)
Improving on Expectation Propagation. Manfred Opper, Ulrich Paquet and Ole Winther Article (2008)
In recent years, learning methods are desirable because of their reliability and efficiency in real-world problems. We propose a novel method to find infinitely many kernel combinations for learning problems with the help of infinite and semi-infinite optimization regarding all elements in kernel space. This will provide to study variations of combinations of kernels when considering heterogeneous data in real-world applications. Looking at all infinitesimally fine convex combinations of the kernels from the infinite kernel set, the margin is maximized subject to an infinite number of constraints with a compact index set and an additional (Riemann-Stieltjes) integral constraint due to the combinations. After a parametrisation in the space of probability measures it becomes semi-infinite. We analyze the conditions which satisfy the Reduction Ansatz and discuss the type of distribution functions of the kernel coefficients within the structure of the constraints and our bilevel optimization problem. Sureyya Ozogur and G.W. Weber 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)
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor and Karin Haustermans Conference or Workshop Item Item not available online. (2008)
Interpolating support information granules Bruno Apolloni, Simone Bassis, Dario Malchiodi and Witold Pedrycz Article Item not available online. (2008)
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update J Bryne, E Valen, M Tang, T Marstrand, O Winther, I da Piedade, A Krogh, B Lenhard and A Sandelin Article Item not available online. (2008)
Kernel Measures of Conditional Dependence K. Fukumizu, A. Gretton, X. Sun and B. Schölkopf Book Section (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)
Large Margin vs. Large Volume in Transductive Learning Ran El-Yaniv, Dmitry Pechyony and Vladimir Vapnik Article (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 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)
Learning with Malicious Noise Peter Auer Book Section Item not available online. (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 Quantum Computing for Fast Probably MAP Inference in Graphical Models Charles Fox, Iead Rezek and Stephen J. Roberts Conference or Workshop Item (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)
Manifold-valued Thin-plate Splines with Applications in Computer Graphics F. Steinke, M. Hein, J. Peters and B. Schölkopf Article (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)
Model Based Clustering using multilocus data with loci selection Elisabeth Gassiat and Wilson Toussile Article (2008)
MODELLING OF KERNEL MACHINES BY INFINITE AND SEMI-INFINITE PROGRAMMING Sureyya Ozogur and G.W. Weber Conference or Workshop Item (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)
Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item (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)
Nonlinear matroid optimization and experimental design Yael Bernstein, Jon Lee, Hugo Maruri-Aguilar, Shmeul Onn, Eva Riccomagno, Robert Weismantel and Henry Wynn 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 Independence Tests: Space Partitioning and Kernel Approaches. A Gretton and L Gyorfi Conference or Workshop Item 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)
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 experimental design and quadratic optimization Rebecca Haycroft, Luc Pronzato, Henry Wynn and Anatoly Zhigljavsky Article Item not available online. (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)
Optimistic Planning for Deterministic Systems Jean Francois Hren and Rémi Munos Conference or Workshop Item (2008)
Particle filter estimation of duration models Miguel Belmonte, Omiros Papaspiliopoulos and Mike Pitt Article Item not available online. (2008)
Particle filters for partially observed diffusions Omiros Papaspiliopoulos, Gareth Roberts and Paul Fearnhead Article Item not available online. (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)
Principal Component Analysis for Sparse High-Dimensional Data Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (2008)
Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection Theodoros Damoulas and Mark Girolami Article Item not available online. (2008)
Protein Functional Class Prediction With a Combined Graph H.H. Shin, K. Tsuda and B. Schölkopf Article (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)
Relating the Thermodynamic Arrow of Time to the Causal Arrow. Armen Allahverdyan and Dominik Janzing Article Item not available online. (2008)
Retrospective MCMC for Dirichlet process hierarchical models Omiros Papaspiliopoulos and Gareth Roberts 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)
Sélection de modèles: de la théorie à la pratique Pascal Massart Article (2008)
Similarity, Kernels, and the Triangle Inequality F. Jäkel, B. Schölkopf and F.A. Wichmann Article (2008)
Sparse Multiscale Gaussian Process Regression C. Walder, K.I. Kim and B. Schölkopf Book Section (2008)
SPARSE RECOVERY UNDER MATRIX UNCERTAINTY M. Rosenbaum and A.B. Tsybakov Other (2008)
Stability of the Gibbs sampler for Bayesian hierarchical models Omiros Papaspiliopoulos and Gareth Roberts Article Item not available online. (2008)
Statistical Models for Partial Membership Katherine Heller, Sinead Williamson and Zoubin Ghahramani Conference or Workshop Item (2008)
Stochastic orderings for discrete random variables A Giovagnoli and Henry Wynn Article Item not available online. (2008)
Supervised and Unsupervised Ensemble Methods and their Applications Book 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)
Tailoring density estimation via reproducing kernel moment matching L. Song, X. Zhang, A. Smola, A. Gretton and B. Schölkopf Book Section (2008)
That simple device already used by Gauss Peter Grünwald Book Section (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)
Towards independent subspace analysis in controlled dynamical systems Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (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)
Universal Multi-task Kernels Charles A. Micchelli, Andrea Caponnetto, Massimiliano Pontil and Yiming Ying Article (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)
Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions. Yuan Shen, Cedric Archambeau, Dan Cornford and Manfred Opper Conference or Workshop Item Item not available online. (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)
Weighted Sampling for Large-Scale Boosting Zdenek Kalal, Jiri Matas and Krystian Mikolajczyk 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)
Editorial: Information theoretic methods for bioinformatics Jorma Rissanen, Peter Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos and Juho Rousu Article Item availablity restricted. (24 December 2007)
Resampling and Model selection Sylvain Arlot Thesis (13 December 2007)
Positional Oligomer Importance Matrices Alexander Zien, Sören Sonnenburg, Petra Philips and Gunnar Raetsch Conference or Workshop Item Item not available online. (08 December 2007)
An Automated Combination of Kernels for Predicting Protein Subcellular Localization Alexander Zien and Cheng Soon Ong Conference or Workshop Item Item not available online. (07 December 2007)
Automatic Detection and Banning of Content Stealing Bots for E-commerce Nicolas Poggi, Josep Lluis Berral, Toni Moreno, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item availablity restricted. (07 December 2007)
Efficient Bounds for the softmax Function, Applications to Inference in Hybrid Models Guillaume Bouchard Conference or Workshop Item (07 December 2007)
Non-asymptotic resampling-based confidence regions and multiple tests in high dimension Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article (05 December 2007)
Graph-based methods for manifold learning Jean-Yves Audibert Conference or Workshop Item Item not available online. (December 2007)
Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Other (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)
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 Markov Jump Processes Manfred Opper and Guido Sanguinetti Conference or Workshop Item (December 2007)
How are N and S in deposition, in percolation water and in the upper soil layers reflected in the chemical composition of needles in Finland? Päivi Merilä, John Derome, Sebastiaan Luyssaert, Mika Sulkava, Jaakko Hollmen, Kaisa Mustajärvi and Pekka Nöjd Book Section (27 November 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)
V-fold penalization: an alternative to V-fold cross-validation Sylvain Arlot Book Section (01 November 2007)
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article (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)
3D Hand Tracking in a Stochastic Approximation Setting Desmond Chik, Jochen Trumpf and Nicol Schraudolph Book Section (20 October 2007)
Modelling the effects of colony age on the foraging behaviour of harvester ants Tom Diethe and Peter Bentley Book Section (12 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)
Convex Multi-Task Feature Learning Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil Article (October 2007)
Euclidean Embedding of Co-occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby Article (October 2007)
Learning Object Representations for Visual Object Class Recognition Marcin Marszalek, Cordelia Schmid, Hedi Harzallah and Joost van de Weijer Conference or Workshop Item (October 2007)
Learning to Integrate Data from Different Sources and Tasks Andreas Argyriou Thesis (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)
Bias-Variance tradeoff in Hybrid Generative-Discriminative models Guillaume Bouchard Article (29 September 2007)
A Phase Transition-Based Perspective on Multiple Instance Kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (27 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)
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)
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)
Large Margin Algorithms for Discriminative Continuous Speech Recognition Joseph Keshet Thesis (01 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)
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)
Distributed Categorizer for Large Category System Eric Gaussier and Francois Pacull Conference or Workshop Item Item availablity restricted. (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)
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)
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)
A Markov Clustering Method for Analyzing Movement Trajectories Jacob Goldberger, Keren Erez and Moshe Abeles Conference or Workshop Item (28 August 2007)
Fast semi-supervised discriminative component analysis Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item (28 August 2007)
Discovering the truth by conducting experiments Wouter Koolen Conference or Workshop Item Item not available online. (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)
Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex Danko Nikolić, Stefan Häusler, Wolf Singer and Wolfgang Maass Article Item not available online. (05 August 2007)
A Spectral Regularization Framework for Multi-Task Structure Learning Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil and Yiming Ying Conference or Workshop Item (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)
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)
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)
Régression Logistique Parcimonieuse Romain Herault and Yves Grandvalet Conference or Workshop Item Item availablity restricted. (04 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)
Gender-Sensitive Automated Negotiators Ron Katz and Sarit Kraus Conference or Workshop Item (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)
Modeling and unsupervised classification of multivariate hidden Markov chains with copulas Nicolas J-B. Brunel, Jerôme Lapuyade-Lahorgue and Wojciech Pieczynski Article (July 2007)
Robustness of VOR and OKR adaptation under kinematics and dynamics transformations Adrian Haith and Sethu Vijayakumar Conference or Workshop Item (July 2007)
Learning from Relevant Tasks Only Samuel Kaski and Jaakko Peltonen Conference or Workshop Item Item not available online. (29 June 2007)
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites Nicolas Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item not available online. (25 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)
Resampling-based confidence regions and multiple tests for a correlated random vector Sylvain Arlot, Gilles Blanchard and Etienne Roquain Book Section (12 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)
Fast Semi-supervised Discriminative Component Analysis Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item Item not available online. (06 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)
Accurate Object Localization with Shape Masks Marcin Marszalek and Cordelia Schmid Conference or Workshop Item (June 2007)
Adaptive Learning via the Balancing Principle Ernesto De Vito, Sergei Pereverzev and Lorenzo Rosasco Other 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)
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)
Multiclass Multiple Kernel Learning Alexander Zien and Cheng Soon Ong Conference or Workshop Item (June 2007)
Semantic Hierarchies for Visual Object Recognition Marcin Marszalek and Cordelia Schmid Conference or Workshop Item (June 2007)
Semi-Markov Models for Sequence Segmentation Qinfeng Shi, Yasemin Altun, Alex Smola and S V N Vishwanathan Book Section (June 2007)
Strategies for prediction under imperfect monitoring Gábor Lugosi, Gilles Stoltz and Shie Mannor Conference or Workshop Item (June 2007)
Transductive Support Vector Machines for Structured Variables Alexander Zien, Ulf Brefeld and Tobias Scheffer Conference or Workshop Item (June 2007)
Statistical and Information-Theoretic Methods for Data Analysis Teemu Roos Thesis (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)
Modeling the effects of varying data quality on trend detection in environmental monitoring Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens and Jaakko Hollmen Article Item not available online. (23 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)
Policy-based autonomous bidding for overload management in eCommerce websites Toni Moreno, Nicolas Poggi, Josep Lluis Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item availablity restricted. (14 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)
Undercomplete blind subspace deconvolution Zoltan Szabo, Barnabas Poczos and András Lorincz Article (May 2007)
Using Image Stimuli to Drive fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (May 2007)
Learning with Malicious Noise Peter Auer Other Item availablity restricted. (30 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)
Data Integration for Classification Problems Employing Gaussian Process Priors Mark Girolami and Mingjun Zhong Conference or Workshop Item (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)
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm R. Jenssen, T. Eltoft, M. Girolami, D. Erdogmus: Jenssen Robert, Eltoft T, Girolami Mark and Erdogmus D Conference or Workshop Item (April 2007)
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation Gavin Cawley, Nicola Talbot and Mark Girolami Conference or Workshop Item Item not available online. (April 2007)
Incorporating Prior Knowledge on Features into Learning Eyal Krupka and Naftali Tishby Article (21 March 2007)
An Overview on the Shrinkage Properties of Partial Least Squares Regression Nicole Krämer Article Item not available online. (09 March 2007)
Gene Expression Profiles in Asbestos-exposed Epithelial and Mesothelial Lung Cell Lines Penny Nymark, Pamela M. Lindholm, Mikko V. Korpela, Leo Lahti, Salla Ruosaari, Samuel Kaski, Jaakko Hollmen, Sisko Anttila, Vuokko L. Kinnula and Sakari Knuutila Article Item not available online. (01 March 2007)
Causal feature selection Isabelle Guyon, Constantin Aliferis and Andre Elisseeff Monograph (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)
Margin based Transductive Graph Cuts using Linear Programming Kristiaan Pelckmans, John Shawe-Taylor, Johan Suykens and Bart De Moor Conference or Workshop Item (March 2007)
MDL Histogram Density Estimation Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (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)
Learnability of Gaussians with Flexible Variances Yiming Ying and Ding-Xuan Zhou Article Item not available online. (February 2007)
Conditional NML universal models Jorma Rissanen and Teemu Roos Conference or Workshop Item (30 January 2007)
Linear Dependence of Stationary Distributions in Ergodic Markov Decision Processes Ronald Ortner Article Item not available online. (25 January 2007)
Model selection by resampling penalization Sylvain Arlot Article (19 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)
A cooperative approach to style-oriented music composition David Espí, Pedro J. Ponce de León, Carlos Pérez-Sancho, David Rizo, José Iñesta, Francisco Moreno-Seco and Antonio Pertusa Conference or Workshop Item (06 January 2007)
On-line Learning Peter Auer Other Item availablity restricted. (03 January 2007)
On-line Learning Peter Auer Other Item availablity restricted. (03 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 primitive based generative model to infer timing information in unpartitioned handwriting data Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2007)
A primitive based generative model to infer timing information in unpartitioned handwriting data Ben Williams, Marc Toussaint and Amos Storkey 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)
Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model Narayanan Edakunni, Stefan Schaal and Sethu Vijayakumar Conference or Workshop Item (January 2007)
Suboptimal behaviour of Bayes and MDL in classification under misspecification Peter Grünwald and John Langford Article Item not available online. (2007)
A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation Theodoros Evgeniou, Massimiliano Pontil and Olivier Toubia 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 grid environment for high-throughput proteomics. mario cannataro, annalisa barla, roberto flor, a gallo, giuseppe jurman, stefano merler, silvano paoli, g tradigo, p veltri and cesare furlanello Article 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 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 Nonparametric Bayesian Approach to Modeling Overlapping Clusters Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2007)
A PROTOTYPE DECISION SUPPORT SYSTEM FOR GMO TRACEABILITY Petra Kralj, Nada Lavrac, Kristina Gruden, Ana Rotter, Dejan Stebih, Dany Morisset and Jana Zel Conference or Workshop Item 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 web server for automatic analysis and extraction of relevant biological knowledge J. Cedano, M. Huerta, I. Estrada, F. Ballllosera, O. Conchillo, Pedro Delicado and E. Querol 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)
Aggregation of density estimators and dimension reduction. Alexander Samarov and Alexandre Tsybakov Article (2007)
An algebraic framework for Bayes nets of time series Peter Caines and Henry Wynn Book Section 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 integral approach to causal inference with latent variables Sam Maes, Stijn Meganck and Philippe Leray Book Section Item not available online. (2007)
An online Classification EM algorithm based on the mixture model Allou Samé, Christophe Ambroise and Gérard Govaert Article Item not available online. (2007)
Analogical Reasoning with Relational Bayesian Sets Ricardo Silva, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2007)
Anytime many-armed bandits Olivier Teytaud, Sylvain Gelly and Michele Sebag 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)
Bayesian Estimators for Robins-Ritov's Problem Stefan Harmeling and Marc Toussaint Monograph (2007)
Bayesian Inference for Sparse Generalized Linear Models matthias seeger, Sebastian Gerwinn and Matthias Bethge Conference or Workshop Item (2007)
Betti numbers and minimal free resolutions for multi-state system reliability bounds Eduardo Saenz de Cabezon and Henry Wynn Conference or Workshop Item Item not available online. (2007)
Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning Antti Honkela, Harri Valpola, Alexander Ilin and Juha Karhunen Article Item availablity restricted. (2007)
Change-Point Detection using Krylov Subspace Learning Tsuyoshi Ide and Koji Tsuda Conference or Workshop Item (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)
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)
Concentration inequalities and model selection Pascal Massart Book (2007)
Detecting changes in polarimetric SAR data with content-based image retrieval. Matthieu Molinier, Jorma Laaksonen, Yrjö Rauste and Tuomas Häme Conference or Workshop Item Item not available online. (2007)
Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps Matthieu Molinier, Jorma Laaksonen and Tuomas Häme Article Item not available online. (2007)
Dimensionality reduction and generalization Sofia Mosci, Lorenzo Rosasco and Alessandro Verri Conference or Workshop Item Item not available online. (2007)
Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions X. Sun, D. Janzing and B. Schölkopf Conference or Workshop Item Item availablity restricted. (2007)
Edge of Chaos and Prediction of Computational Performance for Neural Circuit Models Robert Legenstein and Wolfgang Maass Article Item availablity restricted. (2007)
Entire Regularization Paths for Graph Data Koji Tsuda Conference or Workshop Item (2007)
Face recognition using Parzenfaces Zhirong Yang and Jorma Laaksonen Conference or Workshop Item Item not available online. (2007)
Fast Kernel ICA using an Approximate Newton Method Hao Shen, stefanie jegelka and Arthur Gretton Conference or Workshop Item Item not available online. (2007)
Fast learning rates for plug-in classifiers Jean-Yves Audibert and Alexandre Tsybakov Article Item not available online. (2007)
Fast learning rates for plug-in classifiers. Jean-Yves Audibert and Alexandre Tsybakov Article (2007)
Feature Selection for trouble shooting in complex assembly lines T. Pfingsten, D.J.L. Herrmann, T. Schnitzler, A. Feustel and B. Schölkopf Article Item availablity restricted. (2007)
Feature space perspectives for learning the kernel Charles Micchelli and Massimiliano Pontil Article Item not available online. (2007)
Finding Low-Entropy Sets and Trees from Binary Data Hannes Heikinheimo, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen and Jouni Seppänen Conference or Workshop Item (2007)
Functional k-sample problem when data are density functions Pedro Delicado Article Item not available online. (2007)
Gaussian Process Approximations of Stochastic Differential Equation Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor Article (2007)
Gaussian Process Belief Propagation matthias seeger Book Section (2007)
Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines Penny Nymark, Pamela Lindholm, Mikko Korpela, Leo Lahti, Salla Ruosaari, Samuel Kaski, Jaakko Hollmen, Sisko Anttila, Vuokko Kinnula and Sakari Knuutila Article Item not available online. (2007)
Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning F. Jäkel, B. Schölkopf and F.A. Wichmann Article Item availablity restricted. (2007)
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Christian Walder, Bernhard Schölkopf and Olivier Chapelle Conference or Workshop Item Item availablity restricted. (2007)
Independent process analysis without a priori dimensional information Barnabas Poczos, Zoltan Szabo, Melinda Kiszlinger and András Lorincz Conference or Workshop Item Item availablity restricted. (2007)
Independent process analysis without a priori dimensional information Barnabas Poczos, Zoltan Szabo, Melinda Kiszlinger and András Lorincz Conference or Workshop Item Item availablity restricted. (2007)
Information Bottleneck for Non Co-Occurrence Data Yevgeny Seldin, Noam Slonim and Naftali Tishby Conference or Workshop Item (2007)
Kernel ellipsoidal trimming Alexander Dolia, Chris Harris, John Shawe-Taylor and Mike Titterington Article (2007)
Kernel Measures of Conditional Dependence Kenji Fukumizu, Arthur Gretton, xiaohai sun and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2007)
Kernel Methods in Machine Learning Alex Smola, T Hofmann and Bernhard Schölkopf Article (2007)
L1-Norm Regularization Path for Sparse Semi-Supervised Laplacian SVM Gilles Gasso, Karina Zapien and Stéphane Canu Article Item not available online. (2007)
Learning Dense 3D Correspondence Florian Steinke, Bernhard Schölkopf and Volker Blanz Conference or Workshop Item Item availablity restricted. (2007)
Learning with Hypergraphs: Clustering, Classification, and Embedding Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf Conference or Workshop Item Item availablity restricted. (2007)
Linear and convex aggregation of density estimators. Philippe Rigollet and Alexandre Tsybakov Article (200