PASCAL - Subject: Computational, Information-Theoretic Learning with Statistics

Flu Detector - Tracking Epidemics on Twitter Vasileios Lampos, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 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)

Quality-based Score Normalisation with Device Qualitative Information for Multimodal Biometric Fusion Norman Poh, Josef Kittler and Thirimahos Bourlai Article (May 2010)

Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh and Michael I. Jordan Book Section Item not available online. (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)

A Bayesian Rule for Adaptive Control Based on Causal Interventions Pedro Alejandro Ortega and Daniel Alexander Braun Conference or Workshop Item (08 March 2010)

On-line Learning Peter Auer Other Item availablity restricted. (01 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)

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)

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)

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)

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)

Testing composite hypotheses about discrete-valued stationary processes Daniil Ryabko Conference or Workshop Item Item not available online. (January 2010)

An improved methodology for filling missing values in spatiotemporal climate data set Antti Sorjamaa, Amaury Lendasse, Yves Cornet and Eric Deleersnijder Article Item availablity restricted. (January 2010)

Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Book Section (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)

Remote Sensing Feature Selection by Kernel Dependence Estimation Gustavo Camps-Valls, Joris Mooij and Bernhard Schölkopf Article 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 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)

An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna Wallach, Shane Jensen, Lee Dicker and Katherine Heller Conference or Workshop Item Item not available online. (2010)

Causality: Objectives and Assessment Isabelle Guyon, Dominik Janzing and Bernhard Schölkopf Article (2010)

Compressed Least-squares regression Odalric-Ambrym Maillard and Rémi Munos Book Section (2010)

Continuous-Time Belief Propagation Tal El-Hay, Ido Cohn, Nir Friedman and Raz Kupferman Conference or Workshop Item (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)

Discrimination between B-processes is impossible Daniil Ryabko Article Item not available online. (2010)

Elliptical slice sampling Iain Murray, Ryan Adams and David MacKay Article Item not available online. (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 Theory of Decisions and Actions Naftali Tishby and Daniel Polani Article (2010)

Latent Block Model for Contingency Table Gérard Govaert and Mohamed Nadif Article (2010)

Lossless Compression based on the Sequence Memoizer Jan Gasthaus, Frank Wood and Yee Whye Teh Conference or Workshop Item (2010)

Model Selection: Beyond the Bayesian/Frequentist Divide Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Article (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)

On-line sequential bin packing. Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak 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)

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)

Ranking Relations using Analogies in Biological and Information Networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and Eduardo AIroldi Article Item not available online. (2010)

Reward-modulated Hebbian Learning of Decision Making Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Article Item not available online. (2010)

Series, weighted automata, probabilistic automata and probability distributions for unranked trees Édouard Gilbert, Rémi Gilleron and Marc Tommasi Other Item not available online. (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)

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)

Causality Workbench Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Book Section (28 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)

Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Article 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 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 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)

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)

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)

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)

Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman and Raz Kupferman Conference or Workshop Item (2009)

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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)

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)

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)

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)

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 Other (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)

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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)

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)

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)

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 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)