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

Autonomous Exploration For Navigating In MDPs Shiau Hong Lim and Peter Auer Article Item availablity restricted. (01 January 2012)

Collaborative filtering via group-structured dictionary learning Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2012)

Robust multi-class Gaussian process classification Daniel Hernández-Lobato, José Miguel Hernánez Lobato and Pierre Dupont Conference or Workshop Item (2012)

Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2012)

Speedy Q-learning Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh and Bert Kappen Conference or Workshop Item (12 December 2011)

Mutual Information Criteria for Feature Selection Zhihong Zhang and Edwin Hancock Article (24 September 2011)

HasGP: A Haskell Library for Gaussian Process Inference Sean Holden Article Item not available online. (21 September 2011)

The HasGP user manual Sean Holden Monograph (September 2011)

A Hypergraph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Article (13 August 2011)

Information, Utility & Bounded Rationality Pedro Ortega and Daniel A. Braun Conference or Workshop Item (03 August 2011)

Reinforcement Learning and the Bayesian Control Rule Pedro Ortega, Daniel A. Braun and Simon Godsill Conference or Workshop Item (03 August 2011)

Bayesian Reasoning and Machine Learning David Barber Book Item not available online. (August 2011)

Near-optimal rates for limited-delay universal lossy source coding Andras Gyorgy and Gergely Neu Conference or Workshop Item Item not available online. (July 2011)

Feature Selection for Gender Classification Zhihong Zhang and Edwin Hancock Article (18 June 2011)

Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling Book Section Item not available online. (June 2011)

Graph matching through entropic manifold alignment Franceso Escolano, Edwin Hancock and Miguel-Angel Lozano Conference or Workshop Item (June 2011)

Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning Marc P Deisenroth, Carl Edward Rasmussen and Dieter Fox Conference or Workshop Item (June 2011)

PILCO: A Model-Based and Data-Efficient Approach to Policy Search Marc P Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (June 2011)

PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor and Jan Peters Conference or Workshop Item (20 May 2011)

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters and Peter Auer Monograph (19 May 2011)

A Graph-Based Approach to Feature Selection Zhihong Zhang and Edwin Hancock Article (05 May 2011)

Bayesian Time Series Models Book Item not available online. (May 2011)

Gambit: An Autonomous Chess-Playing Robotic System Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua Smith and Dieter Fox Conference or Workshop Item (May 2011)

Inference and estimation in probabilistic time series models David Barber, Taylan Cemgil and Silvia Chiappa Book Section Item not available online. (April 2011)

Approximate inference for the loss-calibrated Bayesian Simon Lacoste-Julien, Ferenc Huszar and Zoubin Ghahramani Conference or Workshop Item (April 2011)

Approximate inference in switching linear dynamical systems using Gaussian mixtures David Barber Book Section Item not available online. (April 2011)

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models Edward Challis and David Barber Conference or Workshop Item Item not available online. (April 2011)

Machine Learning Markets Amos Storkey Article Item not available online. (April 2011)

Mixed cumulative distribution networks Ricardo Silva, Charles Blundell and Yee Whye Teh Conference or Workshop Item (April 2011)

Switch-Reset Models : Exact and Approximate Inference Chris Bracegirdle and David Barber Conference or Workshop Item Item not available online. (April 2011)

Causality Workbench Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Book Section (17 March 2011)

A High-Dimensional Subband Speech Representation and SVM Framework for Robust Speech Recognition J K Yousafzai, Z Cvetkovic, P Sollich and M Ager Article (04 March 2011)

A Perturbative Approach to Novelty Detection in Autoregressive Models Maurizio Filippone and Guido Sanguinetti Article (March 2011)

Datasets of the Active Learning Challenge Isabelle Guyon Other (March 2011)

Implementation of the Active Learning Challenge in the Causality Workbench Virtual Lab Isabelle Guyon Other (March 2011)

Particle smoothing in continuous time: a fast approach via density estimation Lawrence Murray and Amos Storkey Article Item not available online. (March 2011)

A spiking neural network implementation of MCMC sampling Lars Büsing, Johannes Bill, Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (25 February 2011)

On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features J K Yousafzai, Z Cvetkovic and P Sollich Conference or Workshop Item (15 February 2011)

Path Integral Control and Bounded Rationality Daniel A. Braun, Pedro Ortega, Evangelos Theodorou and Stefan Schaal Conference or Workshop Item (04 February 2011)

Contributions to the sequential prediction of arbitrary sequences: applications to the theory of repeated games and empirical studies of the performance of the aggregation of experts Gilles Stoltz Thesis (03 February 2011)

Dynamic Policy Programming Mohammad Gheshlaghi Azar and Bert Kappen Article Item availablity restricted. (February 2011)

Epigenetic quantification of tumor-infiltrating T-lymphocytes Jalid Sehouli, Christoph Loddenkemper, Tatjana Cornu, Tim Schwachula, Ulrich Hoffmüller, Andreas Grützkau, Philipp Lohneis, Thorsten Dickhaus, Jörn Gröne, Martin Kruschewski, Alexander Mustea, Ivana Turbachova, Udo Baron and Sven Olek Article Item not available online. (February 2011)

Pattern analysis with graphs: Parallel work at Bern and York Edwin Hancock and Richard Wilson Article Item not available online. (February 2011)

Robust approachability and regret minimization in games with partial monitoring Vianney Perchet, Shie Mannor and Gilles Stoltz Article (February 2011)

The Sequence Memoizer Frank Wood, Jan Gasthaus, Cedric Archambeau, Lancelot James and Yee Whye Teh Article Item not available online. (February 2011)

Implicitly adaptive FDR control based on the asymptotically optimal rejection curve Thorsten Dickhaus Conference or Workshop Item Item not available online. (25 January 2011)

Combining Strategies Efficiently: High-Quality Decisions from Conflicting Advice Wouter Koolen Thesis Item not available online. (January 2011)

Generalization Error Bounds for the Logical Analysis of Data Martin Anthony Monograph Item not available online. (January 2011)

A distance for partially labeled trees Jorge Calvo, David Rizo and José Iñesta Article Item not available online. (2011)

A Perturbative Approach to Novelty Detection in Autoregressive Models Maurizio Filippone and Guido Sanguinetti Article Item not available online. (2011)

A tree-based regressor that adapts to intrinsic dimension. Samory Kpotufe and Sanjoy Dasgupta Article Item not available online. (2011)

Adaptive Bayesian Quantum Tomography Ferenc Huszar and Neil Houlsby Article Item not available online. (2011)

Approximate Dynamic Programming with Function Approximation Mohammad Azar, Vicenc Gomez Cerda and Bert Kappen Conference or Workshop Item (2011)

Asymptotic Performance Guarantee for Online Reinforcement Learning with the Least-Squares Regression Mohammad Azar and Bert Kappen Conference or Workshop Item Item not available online. (2011)

Classifying melodies using tree grammars Jose Francisco Bernabeu Briones, Jorge Calera-Rubio and José Iñesta Article Item not available online. (2011)

Convergent Expectation Propagation in Linear Models with Spike-and-slab Priors José Miguel Hernánez Lobato and Daniel Hernández-Lobato Article (2011)

Ensemble methods: a review Matteo Re and Giorgio Valentini Book Section (2011)

Expectation Propagation for the Estimation of Conditional Bivariate Copulas José Miguel Hernánez Lobato, David López-Paz and Zoubin Ghahramani Conference or Workshop Item (2011)

Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model David Reichert, Peggy Series and Amos Storkey Article Item not available online. (2011)

Melodic Identification Using Probabilistic Tree Automata Jose Francisco Bernabeu Briones, Jorge Calera-Rubio, José Iñesta and David Rizo Article Item not available online. (2011)

Modeling the structure and evolution of discussion cascades. V. Gomez, Bert Kappen and A. Kaltenbrunner Conference or Workshop Item Item availablity restricted. (2011)

Multi-way set enumeration in weight tensors Elisabeth Georgii, Koji Tsuda and Bernhard Schölkopf Article Item not available online. (2011)

Multitask Learning without Label Correspondences Novi Quadrianto, A.J. Smola, Tiberio Caetano, S.V.N. Vishwanathan and James Petterson Conference or Workshop Item (2011)

Nonparametric divergence estimators for independent subspace analysis Barnabas Poczos, Zoltan Szabo and Jeff Schneider Conference or Workshop Item Item availablity restricted. (2011)

Nonparametric independent process analysis Zoltan Szabo and Barnabas Poczos Conference or Workshop Item Item availablity restricted. (2011)

Optimal Web-scale Tiering as a Flow Problem G Leung, Novi Quadrianto, AJ Smola and K Tsioutsiouliklis Conference or Workshop Item (2011)

Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays Leo Lahti, Laura Elo, Tero Aittokallio and Samuel Kaski Article Item not available online. (2011)

Reinforcement learning with reference tracking control in continuous state spaces Joseph Hall, Carl Edward Rasmussen and Jan Maciejowski Conference or Workshop Item (2011)

Reverse Multi-Label Learning James Petterson and Tiberio Caetano Conference or Workshop Item (2011)

Sharp threshold for percolation on expanders Itai Benjamini, Stephane Boucheron, Gábor Lugosi and Raphael Rossignol Article Item not available online. (2011)

Sparse Instrumental Variables (SPIV) for Genome-Wide Studies Felix Agakov, Paul McKeigue, Jon Krohn and Amos Storkey Article Item not available online. (2011)

Speedy Q-Learning Mohammad Azar, R. Munos, M. Ghavamzadaeh and Bert Kappen Conference or Workshop Item Item not available online. (2011)

Stochastic Optimal Control of State Constrained Systems Bart Broek, W. Wiegerinck and Bert Kappen Article Item not available online. (2011)

The effect of patient positioning aids on PET quantification in PET/MR imaging F Mantlik, M Hofmann, MK Werner, A Sauter, J Kupferschläger, B Schölkopf, BJ Pichler and T Beyer Article Item not available online. (2011)

Transfer Learning with Copulas David López-Paz and José Miguel Hernánez Lobato Conference or Workshop Item (2011)

Word Features for Latent Dirichlet Allocation James Petterson, A.J. Smola, Tiberio Caetano, Wray Buntine and S Narayanamurthy Conference or Workshop Item (2011)

Subband Acoustic Waveform Front-End for Robust Speech Recognition Using Support Vector Machines J K Yousafzai, Z Cvetkovic and P Sollich Conference or Workshop Item (12 December 2010)

Reducing Model Bias in Reinforcement Learning Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (11 December 2010)

A Bayesian Petrophysical Decision Support System for Estimation of Reservoir Compositions Willem Burgers, Wim Wigerinck, Bert Kappen and Mirano Spalburg Article (December 2010)

A Framework for Mining Interesting Pattern Sets Tijl De Bie, Kleanthis-Nikolaos Kontonasios and Eirini Spyropoulou Article Item not available online. (December 2010)

Active Learning on Graphs via Spanning Trees Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (December 2010)

Advances in Neural Information Processing Systems 23 Book Item not available online. (December 2010)

Bonaparte: Disaster Victim Identification System Willem Burgers and Wim Wiegerinck Conference or Workshop Item Item not available online. (December 2010)

Improvements to the Sequence Memoizer Jan Gasthaus and Yee Whye Teh Conference or Workshop Item (December 2010)

Large scale learning of combinatorial transcriptional dynamics from gene expression Shehzad Asif and Guido Sanguinetti Article Item not available online. (December 2010)

Modeling skin and ageing phenotypes using latent variable models in Infer.NET David Knowles, Leopold Parts, Daniel Glass and John Winn Conference or Workshop Item (December 2010)

PAC-Bayesian Analysis of Co-clustering and Beyond Yevgeny Seldin and Naftali Tishby Article (December 2010)

Robust Cutpoints in the Logical Analysis of Numerical Data Martin Anthony and Joel Ratsaby Monograph Item not available online. (December 2010)

Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray and Ryan Adams Conference or Workshop Item (December 2010)

The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord George Giannakopoulos and Themis Palpanas Conference or Workshop Item (December 2010)

Learning structured models for string and tree structured data Amaury Habrard Thesis Item not available online. (29 November 2010)

Matching samples of multiple views Abhishek Tripathi, Arto Klami, Matej Orešič and Samuel Kaski Article (28 November 2010)

When Data Compression and Statistics Disagree: Two Frequentist Challenges for the Minimum Description Length Principle Tim Erven, van Thesis (23 November 2010)

Graphical Models for Time Series David Barber and Taylan Cemgil Article Item not available online. (10 November 2010)

Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio and Juha Karhunen Article (November 2010)

Computational Modeling of Human Language Acquisition Afra Alishahi Book Item not available online. (November 2010)

Efficient Reinforcement Learning using Gaussian Processes Marc Deisenroth Book (November 2010)

Generalization Bounds Mark Reid Book (November 2010)

Feature Selection in a Cartesian Ensemble of Feature Subspace Classifiers for Music Categorisation Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Carlos Pérez-Sancho and José Iñesta Book Section Item availablity restricted. (25 October 2010)

Harmonic and Instrumental Information Fusion for Musical Genre Classification Tomás Pérez-García, Carlos Pérez-Sancho and José Iñesta Book Section Item availablity restricted. (25 October 2010)

The genetic basis of risk preferences Thorsten Dickhaus and Daniel Schunk Conference or Workshop Item Item not available online. (13 October 2010)

Combined features and kernel design for noise robust phoneme classification using support vector machines J K Yousafzai, Z Cvetkovic, P Sollich and B Yu Article (09 October 2010)

How normal can the t-statistic possibly be? Thorsten Dickhaus and Helmut Finner Conference or Workshop Item Item not available online. (07 October 2010)

Belief Propagation Yair Weiss and Judea Pearl Article (01 October 2010)

Discovering Non-binary Hierarchical Structures with Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Book Section (October 2010)

Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle Panu Luosto, Jyrki Kivinen and Heikki Mannila Conference or Workshop Item Item not available online. (October 2010)

Novel methods for probabilistic inference and learning in spiking neural networks Stefan Habenschuss Thesis Item not available online. (October 2010)

Refined statistical inference methods for contingency table analyses in genetic association studies Thorsten Dickhaus, Klaus Straßburger and Daniel Schunk Conference or Workshop Item Item not available online. (30 September 2010)

Distinguishing facial expression using the Fisher-Rao metric Simone Ceolin and Edwin Hancock Conference or Workshop Item Item not available online. (26 September 2010)

Proceedings of the Fifth European Workshop on Probabilistic Graphical Models Book (13 September 2010)

A Coupled Statistical Model for Face Shape Recovery From Brightness Images Ioannis Patras and Edwin Hancock Article Item not available online. (September 2010)

Detecting events in a million New York Times articles Tristan Snowsill, Ilias Flaounas, Tijl De Bie and Nello Cristianini Article (September 2010)

Flu Detector - Tracking Epidemics on Twitter Vasileios Lampos, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2010)

Multilingual Information Access Evaluation I - Text Retrieval Experiments, 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers, Part I. Book Item not available online. (September 2010)

Online variational inference for state-space models with point process observations Andrew Zammit Mangion, Ke Yuan, visakan kadirkamanathan, Mahesan Niranjan and Guido Sanguinetti Article Item not available online. (September 2010)

Overview and results of Morpho Challenge 2010 Mikko Kurimo, Sami Virpioja and Ville Turunen Book Section Item not available online. (September 2010)

Overview of Morpho Challenge 2009 Mikko Kurimo, Sami Virpioja, Ville Turunen, Graeme W. Blackwood and William Byrne Book Section Item not available online. (September 2010)

Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010) Book (September 2010)

Proceedings of the Morpho Challenge 2010 workshop Book Item not available online. (September 2010)

Sparse Semi-supervised Learning Using Conjugate Functions John Shawe-Taylor and Shiliang Sun Article (September 2010)

Implicitly adaptive FDR control based on the asymptotically optimal rejection curve Thorsten Dickhaus, Helmut Finner and Veronika Gontscharuk Conference or Workshop Item Item not available online. (30 August 2010)

Mutual information based dimensionality reduction with application to non-linear regression Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (29 August 2010)

Auto-Calibration for Neonatal Condition Monitoring Ioan Stanculescu Thesis (27 August 2010)

Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors Wouter Koolen and Tim Erven, van Monograph (27 August 2010)

Switching between Hidden Markov Models using Fixed Share Wouter Koolen and Tim Erven, van Monograph (26 August 2010)

Biological and Functional Models of Learning in Networks of Spiking Neurons Lars Büsing Thesis (24 August 2010)

A Supergraph-based Generative Model Lin Han, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)

Characterising Facial Gender Difference Using Fisher-Rao Metric Simone Ceolin and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)

Gait Learning-Based Regenerative Model: a Level Set Approach Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (23 August 2010)

Heat Flow-Thermodynamic Depth Complexity in Networks Francisco Escolano, Miguel A. Lozano and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)

Rectifying Non-Euclidean Similarity Data using Ricci Flow Embedding Weiping Xu, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)

Robust Computation of the Polarisation Image Gule Saman and Edwin Hancock Conference or Workshop Item Item not available online. (23 August 2010)

Data Dependent Priors in PAC-Bayes Bounds John Shawe-Taylor, Emilio Parrado-Hernandez and Amiran Ambroladze Conference or Workshop Item (22 August 2010)

Commute-Time Convolution Kernels for Graph Clustering Normawati A. Rahman and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

Graph embedding using an Edge-based Wave Kernel Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

Ihara Coefficients: A Flexible Tool for Higher Order Learning Peng Ren, Tatjana Aleksic, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

Mining Exemplars for Object Modelling Using Affinity Propagation Shengping xia and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

Regularising the Ricci Flow Embedding Weiping Xu, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

Spherical Embedding and Classification Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (18 August 2010)

What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach Francisco Escolano, Miguel A. Lozano, Edwin Hancock and Daniela Giorgi Conference or Workshop Item Item not available online. (18 August 2010)

Logic, Reasoning under Uncertainty and Causality Pedro A Ortega Article (16 August 2010)

On the consistency of sequentially normalized least squares Daniel Schmidt and Teemu Roos Conference or Workshop Item (16 August 2010)

A Minimum Relative Entropy Principle for Learning and Acting Pedro Alejandro Ortega and Daniel Alexander Braun Article Item not available online. (August 2010)

A Probabilistic Computational Model of Cross-Situational Word Learning Afsaneh Fazly, Afra Alishahi and Suzanne Stevenson Article Item not available online. (August 2010)

Integrating Syntactic Knowledge into a Model of Cross-situational Word Learning Afra Alishahi and Afsaneh Fazly Conference or Workshop Item Item not available online. (August 2010)

Model Based Learning of Sigma Points in Unscented Kalman Filtering Ryan Turner and Carl Rasmussen Conference or Workshop Item (August 2010)

Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings Edwin Hancock, Richard Wilson, Terry Windeatt, Ilkay Ulusoy and Terry Windeatt Book Item not available online. (August 2010)

The sixth annual MLSP competition, 2010 Kenneth E. Hild II, Mikko Kurimo and Vince D. Calhoun Conference or Workshop Item (August 2010)

Bayesian Rose Trees Charles Blundell, Yee Whye Teh and Katherine Heller Conference or Workshop Item (July 2010)

Morpho Challenge 2005-2010: Evaluations and results Mikko Kurimo, Sami Virpioja, Ville Turunen and Krista Lagus Conference or Workshop Item (July 2010)

Online Entropy-based Model of Lexical Category Acquisition Grzegorz Chrupala and Afra Alishahi Conference or Workshop Item Item not available online. (July 2010)

Remote Sensing Feature Selection by Kernel Dependence Measures Gustavo Camps-Valls, Joris Mooij and Bernhard Schölkopf Article Item not available online. (July 2010)

Variational inference for nonparametric multiple Clustering Y Guan, J G Dy, D Niu and Zoubin Ghahramani Conference or Workshop Item Item not available online. (July 2010)

A nonparametric information theoretic clustering algorithm Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (20 June 2010)

Contextualized question answering Luka Bradesko, Lorand Dali, Blaz Fortuna, Dunja Mladenić, Inna Novalija and Bostjan Pajntar Conference or Workshop Item Item not available online. (June 2010)

Enlarged Search Space for SITG Parsing Guillem Gascó, Joan Andreu Sánchez and José Miguel Benedí Conference or Workshop Item Item not available online. (June 2010)

Facial gender classification using shape-from-shading Jing Wu, William Smith and Edwin Hancock Article Item not available online. (June 2010)

Finding surprising patterns in textual data streams Tristan Snowsill, florent nicart, Marco Stefani, Tijl De Bie and Nello Cristianini Article (June 2010)

Geometric characterization and clustering of graphs using heat kernel embeddings Bai Xiao, Edwin Hancock and Richard Wilson Article Item not available online. (June 2010)

Not far away from home: A relational distance-based approach to understand images of houses Laura-Andreea Antanas, Martijn van Otterlo, José Antonio Oramas Mogrovejo, Tinne Tuytelaars and Luc De Raedt Conference or Workshop Item (June 2010)

Random spanning trees and the prediction of weighted graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (June 2010)

Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo and Scott Sanner Conference or Workshop Item Item availablity restricted. (15 May 2010)

A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition Oya Aran and Lale Akarun Article Item not available online. (May 2010)

Constrained domain maximum likelihood estimation for naive Bayes text classification Jesús Andrés-Ferrer and Alfons Juan Article Item not available online. (May 2010)

How Could Networks of Neurons Learn to Carry Out Probabilistic Inference Wolfgang Maass Conference or Workshop Item Item not available online. (May 2010)

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

Bayesian two-sample test for detecting intervals of diﬀerential gene expression in microarray time series Oliver Stegle, K Denby, E J Cooke, D L Wild, Zoubin Ghahramani and Karsten Borgwardt Article (08 April 2010)

A Model of Semantics and Corrections in Language Learning Dana Angluin and Leonor Becerra Monograph Item not available online. (April 2010)

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation Vicenc¸ Gómez and Bert Kappen Article Item availablity restricted. (April 2010)

Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh and Michael I. Jordan Book Section Item not available online. (April 2010)

Luckiness and Regret in Minimum Description Length Inference Steven de Rooij and Peter Grünwald Book Section (April 2010)

Residual variance estimation using a nearest neighbor statistic Elia Liitiainen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (April 2010)

What is an object? Bogdan Alexe, Thomas Deselaers and Vittorio Ferrari Article Item availablity restricted. (31 March 2010)

μTOSS - Multiple hypotheses testing in an open software system Thorsten Dickhaus, Gilles Blanchard, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft Conference or Workshop Item Item not available online. (24 March 2010)

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

Dynamic Regimes that are likely to support Probabilistic Inference in Distributed Networks of Spiking Neurons Bernhard Nessler and Wolfgang Maass Conference or Workshop Item Item not available online. (01 March 2010)

On-line Learning Peter Auer Other Item availablity restricted. (01 March 2010)

Spike-based Expectation Maximization Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item (01 March 2010)

A New Imputation Method for Incomplete Binary Data Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer Article Item not available online. (March 2010)

A survey of cross-validation procedures for model selection Sylvain Arlot and Alain Celisse Article (March 2010)

Information Theoretic Novelty Detection Maurizio Filippone and Guido Sanguinetti Article Item availablity restricted. (March 2010)

Nonparametric Statistical Inference for Ergodic Processes Daniil Ryabko and Boris Ryabko Article (March 2010)

On the entropy production of time series with unidirectional linearity Dominik / DJ Janzing Article Item not available online. (March 2010)

Probability theory in machine learning Martin Anthony Book Section Item not available online. (March 2010)

Dynamical inference from a kinematic snapshot: the force law in the solar system Jo Bovy, Iain Murray and David W Hogg Article Item not available online. (22 February 2010)

X-SOM and L-SOM: A double classification approach for missing value imputation Paul Merlin, Antti Sorjamaa, Bertrand Maillet and Amaury Lendasse Article Item availablity restricted. (18 February 2010)

Relaxed regret minimization under average cost constraints Andrey Bernstein, Shie Mannor and Nahum Shimkin Conference or Workshop Item Item not available online. (17 February 2010)

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation Federico Pouzols, Amaury Lendasse and Angel Barriga Article Item not available online. (16 February 2010)

Convergence of the Bayesian Control Rule Pedro A Ortega and Daniel A Braun Article (16 February 2010)

Statistical approaches for natural language modelling and monotone statistical machine translation Jesús Andrés-Ferrer, Alfons Juan and Francisco Casacuberta Thesis Item availablity restricted. (05 February 2010)

Concepts and methods from machine learning as tools for the analysis of computations in nervous systems Michael Pfeiffer Thesis Item not available online. (04 February 2010)

Distinguishing between cause and effect Joris Mooij and Dominik Janzing Article (February 2010)

European Symposium on Time Series Prediction: Special Issue Amaury Lendasse, Timo Honkela and Olli Simula Article Item availablity restricted. (February 2010)

Following the Flattened Leader Wojciech Kotlowski, Peter Grünwald and Steven De Rooij Other Item not available online. (February 2010)

Kronecker graphs:an approach to modeling networks Jure Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos and Zoubin Ghahramani Article (February 2010)

On Finding Predictors for Arbitrary Families of Processes Daniil Ryabko Article Item not available online. (February 2010)

Some nonasymptotic results on resampling in high dimension, I: Confidence regions Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article Item availablity restricted. (February 2010)

Some nonasymptotic results on resampling in high dimension, II: Multiple tests Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article (February 2010)

Learning locally minimax optimal Bayesian networks Tomi Silander, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (28 January 2010)

Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Conference or Workshop Item Item not available online. (23 January 2010)

An information retrieval perspective on visualization of gene expression data with ontological annotation Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma and Samuel Kaski Conference or Workshop Item Item not available online. (08 January 2010)

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)

Learning Locally Minimax Optimal Bayesian Networks Tomi Silander, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (January 2010)

On-Line Sequential Bin Packing Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak Article Item not available online. (January 2010)

OP-ELM: Optimally Pruned Extreme Learning Machine Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten and Amaury Lendasse Article Item availablity restricted. (January 2010)

Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong Peter Grünwald and Wojciech Kotlowski Other Item not available online. (January 2010)

A mathematical model for the validation of gene selection methods Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino and Giorgio Valentini Article Item availablity restricted. (2010)

Applications of Supervised and Unsupervised Ensemble Methods Book Item not available online. (2010)

A 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)

A Segmented Topic Model based on the Two-parameter Poisson-Dirichlet Process Lan Du, Wray Buntine and H Jin Conference or Workshop Item (2010)

A segmented topic model based on the two-parameter Poisson-Dirichlet process Lan Du, Wray Buntine and H Jin Article (2010)

Active learning for constrained dirichlet process mixture models A Vlachos, Zoubin Ghahramani and T Briscoe Conference or Workshop Item (2010)

Addressing Missing Values in Kernel-based Multimodal Biometric Fusion using Neutral Point Substitution Norman Poh and David Windridge Article Item not available online. (2010)

Agrégation séquentielle de prédicteurs : méthodologie générale et applications à la prévision de la qualité de l'air et à celle de la consommation électrique Gilles Stoltz Article (2010)

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)

Approximate Dynamic Programming with Affine ADDs Scott Sanner, W Uther and KV Delgado Conference or Workshop Item (2010)

Approximate inference in continuous time Gaussian-Jump processes Manfred Opper, Andreas Ruttor and Guido Sanguinetti Conference or Workshop Item Item not available online. (2010)

Approximate inference in continuous time Gaussian-Jump processes Manfred Opper, Andreas Ruttor and Guido Sanguinetti Article (2010)

Approximate parameter inference in a stochastic reaction-diffusion model Andreas Ruttor and Manfred Opper Article (2010)

Artificial Ants: from collective intelligence to real life optimization and beyond A. Hamdi, Violaine Antoine, N. Monmarché and M. Slimane Book Section Item not available online. (2010)

Attenuation Correction for Whole Body PET/MR: Quantitative Evaluation and Lung Attenuation Estimation with Consistency Information Ilja Bezrukov, Matthias Hofmann, Philip Aschoff, Thomas Beyer, Frederic Mantlik, Bernd J. Pichler and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2010)

Auto-regressive independent process analysis without combinatorial efforts Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2010)

Autoregressive independent process analysis with missing observations Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2010)

Bayesian networks on Dirichlet distributed vectors Wray Buntine, Lan Du and Petteri Nurmi Conference or Workshop Item (2010)

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures X Zhang, T Graepel and R Herbrich Conference or Workshop Item (2010)

Beyond 2D-grids: a dependence maximization view on image browsing Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars and Wray Buntine Conference or Workshop Item (2010)

Causal Learning without DAGs David Duvenaud, Daniel Daniel Eaton, Kevin Murphy and Mark Schmidt Article Item availablity restricted. (2010)

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis and Stefano Panzeri Article Item not available online. (2010)

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

CECM: Constrained Evidential C-Means algorithm Violaine Antoine, B. Quost, M.-H. Masson and T. Denoeux Article Item not available online. (2010)

Clustering processes Daniil Ryabko Conference or Workshop Item Item not available online. (2010)

Coherent Inference on Optimal Play in Game Trees Philipp Hennig, David Stern and Thore Graepel Article (2010)

Comment on: l1-penalization for mixture regression models Gábor Lugosi Article Item not available online. (2010)

Composite Binary Losses Mark Reid and Bob Williamson 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)

Convexity of Proper Composite Binary Losses Mark Reid and Bob Williamson Conference or Workshop Item (2010)

Decision Lists and Related Classes of Boolean Functions Martin Anthony Book Section Item not available online. (2010)

Dense 3D facial movement tracking for animation C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio Book Section Item not available online. (2010)

Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution Dilan Gorur and Carl Edward Rasmussen Article Item not available online. (2010)

Discovering transcriptional modules by bayesian data integration R S Savage, Zoubin Ghahramani, J E Griffin, B de la Cruz and D L Wild Article (2010)

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

Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited Helmut Finner and Thorsten Dickhaus Article Item not available online. (2010)

Elliptical slice sampling Iain Murray, Ryan Adams and David MacKay Article Item not available online. (2010)

Gaussian Process Preference Elicitation Edwin Bonilla, Shengbo Guo and Scott Sanner Conference or Workshop Item (2010)

Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen and Hannes Nickisch Article Item not available online. (2010)

Gene function prediction from synthetic lethality networks via ranking on demand Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt Article (2010)

Global modeling of transcriptional responses in interaction networks Leo Lahti, Juha Knuuttila and Samuel Kaski Article Item not available online. (2010)

Graphical Models Julian McAuley, Tiberio Caetano and Wray Buntine Book Section Item not available online. (2010)

Hierarchical generative biclustering for microRNA expression analysis Jose Caldas and Samuel Kaski Book Section Item not available online. (2010)

High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex M Besserve, Y Murayama, B Schölkopf, NK Logothetis and S Panzeri Conference or Workshop Item Item not available online. (2010)

How to link call rate and $p$-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality Helmut Finner, Klaus Straßburger, Iris M. Heid, Christian Herder, Wolfgang Rathmann, Guido Giani, Thorsten Dickhaus, Peter Lichtner, Thomas Meitinger, Heinz-Erich Wichmann, Thomas Illig and Christian Gieger Article Item not available online. (2010)

Improved Fully Unsupervised Parsing with Zoomed Learning. Roi Reichart and Ari Rappoport Article (2010)

Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes Ryan Adams, George E Dahl and Iain Murray Conference or Workshop Item Item not available online. (2010)

Inferring deterministic causal relations Povilas Daniušis, Dominik Janzing, Joris Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang and Bernhard Schölkopf Conference or Workshop Item (2010)

Infinite Relational Modeling of Functional Connectivity in Resting State fMRI Morten Mørup, Kristoffer Madsen, Anne Marie Dogonowski, Hartwig Siebner and Lars Kai Hansen Article Item availablity restricted. (2010)

Information retrieval perspective to nonlinear dimensionality reduction for data visualization Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos and Samuel Kaski Article Item not available online. (2010)

Information theoretic novelty detection Guido Sanguinetti and Maurizio Filippone Article (2010)

Information Theory of Decisions and Actions Naftali Tishby and Daniel Polani Article (2010)

Introduction to Machine Learning for Brain Imaging Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus and Klaus-Robert Müller Article Item not available online. (2010)

Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery Kun Zhang, Bernhard Schölkopf and Dominik Janzing Conference or Workshop Item Item not available online. (2010)

μTOSS - Multiple hypothesis testing in an open software system Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer and Wiebke Werft Article Item not available online. (2010)

Jeffreys vs. Shtarkov Distributions Associated with Some Natural Exponential Families S.K. Bar-Lev, D. Bshouty, Peter Grünwald and P. Harremoes Article Item not available online. (2010)

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

Learning combinatorial transcriptional dynamics from gene expression data Manfred Opper and Guido Sanguinetti Article Item not available online. (2010)

Learning the structure of deep sparse graphical models Ryan Adams, H Wallach and Zoubin Ghahramani Conference or Workshop Item (2010)

Logic-Based Representation, Reasoning and Machine Learning for Event Recognition Alexander Artikis, Georgios Paliouras, Francois Portet and Anastasios Skarlatidis Article Item not available online. (2010)

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

Machine Learning Methods for Automatic Image Colorization Guillaume Charpiat, Ilja Bezrukov, Matthias Hofmann, Yasemin Altun and Bernhard Schölkopf Book Section Item not available online. (2010)

Markerless tracking of dynamic 3D scans of faces Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf and Cristóbal Curio Book Section Item not available online. (2010)

MDL hierarchical clustering for stemmatology Po-Hsiang Lai, Teemu Roos and Joseph O'Sullivan Conference or Workshop Item Item not available online. (2010)

Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman and Raz Kupferman Article (2010)

Model Selection by Sequentially Normalized Least Squares Jorma Rissanen, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (2010)

Model Selection with the Loss Rank Principle Marcus Hutter and M Tran Article (2010)

Model Selection: Beyond the Bayesian/Frequentist Divide Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Article (2010)

Near-optimal Regret Bounds for Reinforcement Learning Thomas Jaksch, Ronald Ortner and Peter Auer Article (2010)

Neural Networks and Boolean Functions Martin Anthony Book Section Item not available online. (2010)

New Method for Instance or Prototype Selection using Mutual Information in Time Series Prediction Alberto Guillen, Luis Herrera, Gines Rubio, Hector Pomares, Amaury Lendasse and Ignacio Rojas Article Item availablity restricted. (2010)

Nonparametric Regression between General Riemannian Manifolds Florian Steinke, Matthias Hein and Bernhard Schölkopf Article Item not available online. (2010)

On combinatorial testing problems Louigi Addario-Berry, Nicolas Broutin, Luc Devroye and Gábor Lugosi Article Item not available online. (2010)

On-line sequential bin packing. Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak Article Item not available online. (2010)

Online Learning for Multi-label and Multi-variate Performance Measures X Zhang, T Graepel and R Herbrich Conference or Workshop Item (2010)

Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Article Item not available online. (2010)

OP-KNN: Theory and Applications Qi Yu, Yoan Miche, Antti Sorjamaa, Alberto Guillen, Amaury Lendasse and Eric Severin Article Item availablity restricted. (2010)

Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Article (2010)

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster Michael Dewar, visakan kadirkamanathan, Manfred Opper and Guido Sanguinetti Article (2010)

PET/MRI: Observation of Non-Isotropic Positron Distribution in High Magnetic Fields and Its Diagnostic Impact A Kolb, M Hofmann, A Sauter, CC Liu, B Schölkopf and BJ Pichler Conference or Workshop Item Item not available online. (2010)

Playing monotone games to understand learning behaviors Bruno Apolloni, Dario Malchiodi and Lorenzo Valerio Article Item not available online. (2010)

Predicting Relations in news-media content among EU countries Ilias Flaounas, Nick Fyson and Nello Cristianini Conference or Workshop Item Item not available online. (2010)

Probabilistic latent variable models for distinguishing between cause and effect Joris Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang and Bernhard Schölkopf Conference or Workshop Item (2010)

Probabilistic Learning of Boolean Functions Martin Anthony Book Section Item not available online. (2010)

Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) Book Item not available online. (2010)

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

Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and E M Airoldi Article (2010)

Ranking with kernels in Fourier space Risi Kondor and M Barbosa Conference or Workshop Item (2010)

Rapid Face Recognition Using Hashing Q Shi, Hanxi Li and Chunhua Shen Conference or Workshop Item (2010)

Rényi Divergence and Majorization Tim Erven, van and Peter Harremoes Article (2010)

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

Segmentation of the mean of heteroscedastic data via cross-validation Sylvain Arlot and Alain Celisse Article Item availablity restricted. (2010)

Semantic Label Sharing for Learning with Many Categories Robert Fergus, Hector Bernal, Yair Weiss and Antonio Torralba Article (2010)

Separation theorem for independent subspace analysis and its consequences Zoltan Szabo, Barnabas Poczos and András Lorincz Article Item availablity restricted. (2010)

Sequence prediction in realizable and non-realizable cases Daniil Ryabko Conference or Workshop Item Item not available online. (2010)

Series, weighted automata, probabilistic automata and probability distributions for unranked trees Édouard Gilbert, Rémi Gilleron and Marc Tommasi Other Item not available online. (2010)

Sparse Spectrum Gaussian Process Regression Miguel Lazaro-Gredilla, Joaquin Quinonero Candela, Carl Edward Rasmussen and Aníbal R. Figueiras-Vidal Article (2010)

Squinting at a Sea of Dots: Visualising Australian Readerships using Statistical Machine Learning JV Lamond and Mark Reid Book Section (2010)

State Estimation Schemes for Independent Component Coupled Hidden Markov Models WP Malcolm, Novi Quadrianto and Aggoun L Article (2010)

Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda C Downey and Scott Sanner Conference or Workshop Item (2010)

Terveisiä huippuyliopistoista Teemu Roos Article (2010)

TFInfer: A Tool for Probabilistic Inference of Transcription Factor Activities Shehzad Asif, Matthew Rolfe, Jeff Green, Neil Lawrence, Magnus Rattray and Guido Sanguinetti Article Item not available online. (2010)

The Influence of the Image Basis on Modeling and Steganalysis Performance Valentin Schwamberger, Pham Hai Dang Le, Bernhard Schölkopf and Matthias O. Franz Conference or Workshop Item Item not available online. (2010)

Tomographic Considerations in Ensemble Bias/Variance Decomposition David Windridge Conference or Workshop Item Item not available online. (2010)

Traffic Classification in Information Poor Environments H. Rotsos, Jurgen van Gael and Andrew Moore Article Item not available online. (2010)

Transition from the locked in to the completely locked-in state: A physiological analysis A Ramos Murguialday, J Hill, M Bensch, S Martens, S Halder, F Nijboer, B Schölkopf, N Birbaumer and A Gharabaghi Article Item not available online. (2010)

Tree language automata for melody recognition Jose Francisco Bernabeu Briones, Jorge Calera-Rubio, José Iñesta and David Rizo Book Section Item not available online. (2010)

Tree-Structured stick breaking for hierarchical data Ryan Adams, Zoubin Ghahramani and M I Jordan Conference or Workshop Item Item not available online. (2010)

Type Level Clustering Evaluation: New Measures and a POS Induction Case Study. Roi Reichart, Omri Abend and Ari Rappoport Article Item not available online. (2010)

UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem Peter Auer and Ronald Ortner Article Item not available online. (2010)

Uniform hypothesis testing for ergodic time series distributions Daniil Ryabko Conference or Workshop Item (2010)

Using an infinite von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy Mark Bangert, Philipp Hennig and Uwe Oelfke Conference or Workshop Item (2010)

Variational Inference and Learning for Non-Linear State-Space Models with State-Dependent Observation Noise Veli Peltola and Antti Honkela Conference or Workshop Item Item availablity restricted. (2010)

Wearable-sensor activity analysis using semi-Markov models with a grammar O Thomas, Peter Sunehag, G Dror, S Yun, S Kim, M Robards, A.J. Smola, D Green and P Saunders Article (2010)

Model selection by sequentially normalized least squares Jorma Rissanen, Teemu Roos and Petri Myllymäki Article Item availablity restricted. (29 December 2009)

Distributed fading memory for stimulus properties in the primary visual cortex Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass Article Item availablity restricted. (22 December 2009)

Computing the stochastic complexity of simple probabilistic graphical models Tommi Mononen Thesis (12 December 2009)

Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item Item not available online. (12 December 2009)

Regression for Large Datasets using an Ensemble of GPU-accelerated ELMs Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (11 December 2009)

Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo and Scott Sanner Conference or Workshop Item (07 December 2009)

Exponential Family Graph Matching and Ranking James Petterson, Tiberio Caetano, Julian McAuley and Jin Yu Conference or Workshop Item (06 December 2009)

A Complete Theory of Everything (will be Subjective) Marcus Hutter Article (December 2009)

A general projection property for distribution families Y Yu, Y Li, Csaba Szepesvari and D Schuurmans Conference or Workshop Item Item not available online. (December 2009)

A PAC-Bayesian Approach to Formulation of Clustering Objectives Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (December 2009)

A SOM-based approach to estimating product properties from spectroscopic measurements Francesco Corona, Elia Liitiainen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis and Roberto Baratti Article Item availablity restricted. (December 2009)

A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction Stefan Klampfl and Wolfgang Maass Article Item not available online. (December 2009)

Advances in Neural Information Processing Systems 22 Book Item not available online. (December 2009)

Analysis of SVM with indefinite kernels Yiming Ying, Colin Campbell and Mark Girolami Conference or Workshop Item Item not available online. (December 2009)

Compressed Least-Squares Regression Odalric-Ambrym Maillard and Rémi Munos Article (December 2009)

Convergent temporal-difference learning with arbitrary smooth function approximation H Maei, Csaba Szepesvari, S Bhathnagar, D Silver, D Precup and R Sutton Conference or Workshop Item Item not available online. (December 2009)

Data-driven calibration of linear estimators with minimal penalties Sylvain Arlot and Francis Bach Conference or Workshop Item (December 2009)

Discrete MDL Predicts in Total Variation Marcus Hutter Conference or Workshop Item (December 2009)

Hierarchical generative biclustering for microRNA expression analysis José Caldas and Samuel Kaski Book Section Item not available online. (December 2009)

Machine learning for event selection in high energy physics S. Whiteson and D. Whiteson Article Item not available online. (December 2009)

Metric Entropy and Gaussian Bandits Steffen Grunewalder, Jean-Yves Audibert, Manfred Opper and John Shawe-Taylor Conference or Workshop Item Item not available online. (December 2009)

Semi-Supervised Learning via Generalized Maximum Entropy Ayse Naz Erkan and Yasemin Altun Conference or Workshop Item (December 2009)

Sensitivity analysis in HMMs with application to likelihood maximization Coquelin Pierre-Arnaud, Deguest Romain and Rémi Munos Article (December 2009)

Sparse Metric Learning via Smooth Optimization Yiming Ying, Kaizhu Huang and Colin Campbell Conference or Workshop Item Item not available online. (December 2009)

Computationally efficient methods for MDL-optimal density estimation and data clustering Petri Kontkanen Thesis (30 November 2009)

Level Set Gait Analysis for Synthesis and Reconstruction Sasan Mahmoodi Conference or Workshop Item (30 November 2009)

Relevant subtask learning by constrained mixture models Jaakko Peltonen, Yusuf Yaslan and Samuel Kaski Article Item not available online. (28 November 2009)

Finding stationary subspaces in multivariate time series Paul von Buenau, Frank C. Meinecke, Franz Kiraly and Klaus-Robert Mueller Article (20 November 2009)

Identifying graph clusters using variational inference and links to covariance parametrization David Barber Article (13 November 2009)

A Non-Linear Approach for Completing Missing Values in Temporal Databases Paul Merlin, Antti Sorjamaa, Bertrand Maillet and Amaury Lendasse Article Item availablity restricted. (November 2009)

Clustering and bifurcations in Gaussian mixture models Matthew Urry and Peter Sollich Monograph (November 2009)

Matching 2-D Ellipses to 3-D Circles with Application to Vehicle Pose Estimation Marcus Hutter, Nathan Brewer and Ahmed Rakib Conference or Workshop Item (November 2009)

Variational methods for Reinforcement Learning David Barber and Tom Furmston Conference or Workshop Item Item not available online. (November 2009)

The Causality Workbench Virtual Lab Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Olivier Guyon, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Other (30 October 2009)

Distinguishing Cause and Effect via Second Order Exponential Models Dominik / DJ Janzing, Xiaohai / XS Sun and Bernhard / BS Schoelkopf Article Item not available online. (29 October 2009)

Justifying additive-noise-model based causal discovery via algorithmic information theory Dominik / DJ Janzing and Bastian / BS Steudel Article Item not available online. (09 October 2009)

Expectation Propagation on the Maximum of Correlated Normal Variables Philipp Hennig Article (02 October 2009)

A spiking neuron as information bottleneck Lars Büsing and Wolfgang Maass Article Item not available online. (October 2009)

Adaptive-resolution Reinforcement Learning with efficient exploration in deterministic domains Andrey Bernstein and Nahum Shimkin Article Item not available online. (October 2009)

Canonical Horn Representations and Query Learning Marta Arias and José Balcázar Conference or Workshop Item (October 2009)

CONTEXTUALIZED VISUALIZATION OF ONTOLOGIES AND ONTOLOGY NETWORKS Bostjan Pajntar, Marko Grobelnik and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)

ENRYCHER – SERVICE ORIENTED TEXT ENRICHMENT Tadej Stajner, Delia Rusu, Blaz Fortuna, Dunja Mladenić and Marko Grobelnik Conference or Workshop Item Item not available online. (October 2009)

Improved Semantic Graphs with Word Sense Disambiguation Delia Rusu, Blaz Fortuna and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)

Learning event templates on news articles Mitja Trampus and Dunja Mladenić Conference or Workshop Item Item not available online. (October 2009)

mBPCR: A Package for DNA Copy Number Profile Estimation Paola M.V. Rancoita and Marcus Hutter Article (October 2009)

Modeling and Visualizing uncertainty in gene expression clusters using dirichlet process mixtures Carl Edward Rasmussen, B. J. de la Cruz, Zoubin Ghahramani and D. L. Wild Article Item not available online. (October 2009)

Probabilistic Temporal Process Model for Knowledge Processes: Handling a Stream of Linked Text Marko Grobelnik, Dunja Mladenić and Jure Ferlez Conference or Workshop Item Item not available online. (October 2009)

Residual variance estimation in machine learning Elia Liitiainen, Michel Verleysen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (October 2009)

STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (October 2009)

Variational Bayesian learning of nonlinear hidden state-space models for model predictive control Tapani Raiko and Matti Tornio Article Item not available online. (October 2009)

Wireless Access Network Selection Enabled by Semantic Technologies Carolina Fortuna, B. Ivan, Luka Bradesko, Blaz Fortuna and M. Mohorcic Conference or Workshop Item Item not available online. (October 2009)

Telling cause from effect based on high-dimensional observations Dominik / DJ Janzing, Patrik / PH Hoyer and Bernhard / BS Schoelkopf Article Item not available online. (24 September 2009)

Gait Sequence Synthesis and Reconstruction Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (11 September 2009)

A probabilistic approach to melodic similarity Jose F. Bernabeu, Jorge Calera-Rubio, José Iñesta and David Rizo Conference or Workshop Item (07 September 2009)

Solving deterministic policy (PO)MPDs using Expectation-Maximisation and Antifreeze David Barber and Tom Furmston Article (07 September 2009)

Binary Principal Component Analysis in the Netflix Collaborative Filtering Task Laszlo Kozma, Alexander Ilin and Tapani Raiko Conference or Workshop Item (02 September 2009)

On the statistical estimation of Rényi entropies Elia Liitiainen, Amaury Lendasse and Francesco Corona Conference or Workshop Item Item availablity restricted. (01 September 2009)

A Monte Carlo AIXI Approximation Joel Veness, Kee Siong Ng, Marcus Hutter and David Silver Article (September 2009)

A Theory of Impedance Control based on Internal Model Uncertainty Djordje Mitrovic, Stefan Klanke, Adrian Haith and Sethu Vijayakumar Conference or Workshop Item Item not available online. (September 2009)

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter Hilbers, Timo Honkela, Erkki Oja and Amaury Lendasse Book Section Item availablity restricted. (September 2009)

Computable Bayesian Compression for Uniformly Discretizable Statistical Models Lukasz Debowski Conference or Workshop Item Item not available online. (September 2009)

Decision Rule-based Algorithm for Ordinal Classification based on Rank Loss Minimization Wojciech Kotlowski Conference or Workshop Item Item not available online. (September 2009)

Efficient Reinforcement Learning for Motor Control Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (September 2009)

Machine Learning in Systems Biology. Proc. 3rd International Workshop Saso Dzeroski, Pierre Geurts and Juho Rousu Monograph Item not available online. (September 2009)

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems Alberto Guillen, Antti Sorjamaa, Gines Rubio, Amaury Lendasse and Ignacio Rojas Book Section Item availablity restricted. (September 2009)

Thermodynamic efficiency of information and heat flow Armen / AA Allahverdyan, Dominik / DJ Janzing and Guenter /GM Mahler Article Item not available online. (September 2009)

Transductive segmentation of textured meshes Anne-Laure Chauve, Jean-Philippe Pons, Jean-Yves Audibert and Renaud Keriven Conference or Workshop Item Item not available online. (September 2009)

Some observations on the applicability of normalized compression distance to stemmatology Toni Merivuori and Teemu Roos Conference or Workshop Item (07 August 2009)

R/BHC: Fast bayesian Hierarchical clustering for microarray data R Savage, Katherine Heller, Y Xu, Zoubin Ghahramani, W. M. Truman, M Grant, K. J. Denby and D. L. Wild Article (06 August 2009)

A methodological framework for Monte Carlo probabilistic inference for diffusion processes. Omiros Papaspiliopoulos Book Section (05 August 2009)

Latent state models of primary user behavior for opportunistic spectrum access Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo and Ari Hottinen Conference or Workshop Item Item not available online. (04 August 2009)

A Bayesian Model of Syntax-Directed Tree to String Grammar Induction Trevor Cohn and Phil Blunsom Conference or Workshop Item (August 2009)

A practical guide to model selection Isabelle Guyon Book Section (August 2009)

A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass Article Item not available online. (August 2009)

Improving the Confidence of Machine Translation Quality Estimates Lucia Specia, Marco Turchi, Zhuoran Wang, John Shawe-Taylor and Craig Saunders Conference or Workshop Item (August 2009)

MDL-based attribute models in naive Bayes classification Petri Myllymäki Conference or Workshop Item (August 2009)

Time-bounded incompressibility of compressible strings and sequences Edgar Daylight, Wouter Koolen and Paul Vitányi Article Item not available online. (August 2009)

Edgeworth expansions and rates of convergence for generalized self-normalized sums Thorsten Dickhaus and Helmut Finner Conference or Workshop Item Item not available online. (28 July 2009)

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations Jaakko Peltonen, Jarkko Venna and Samuel Kaski Article Item not available online. (07 July 2009)

Wahrscheinlichkeitstheoretische Grundlagen für False Discovery Rate-kontrollierende multiple Testprozeduren Thorsten Dickhaus Conference or Workshop Item Item not available online. (06 July 2009)

How to optimize sample in active learning : Dispersion, an optimum criterion for classification ? Benoit Gandar, Gaëlle Loosli and Guillaume Deffuant Conference or Workshop Item Item not available online. (02 July 2009)

A Lower Bound for the Capacity of the Discrete-Time Poisson Channel Alfonso Martinez Conference or Workshop Item Item not available online. (July 2009)

Bounds on marginal probability distributions Joris Mooij and Bert Kappen Conference or Workshop Item Item not available online. (July 2009)

Document Visualization Based on Semantic Graphs Delia Rusu, Blaz Fortuna, Dunja Mladenić, Marko Grobelnik and Ruben Sipoš Conference or Workshop Item Item not available online. (July 2009)

Error Probability of BICM in Fading Channels: Uniform Interleaving Analysis Alfonso Martinez and A. Guillén i Fàbregas Conference or Workshop Item Item not available online. (July 2009)

Information Rate Loss from Radiation Decoherence Alfonso Martinez Conference or Workshop Item Item not available online. (July 2009)

Open Problems in Universal Induction and Intelligence Marcus Hutter Article (July 2009)

Explicit probabilistic models for databases and networks Tijl De Bie Monograph Item not available online. (29 June 2009)

Identifying targets of transcriptionally regulated transcription factors using dynamical models Antti Honkela, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item availablity restricted. (27 June 2009)

False Discovery Rate and Asymptotics Thorsten Dickhaus Conference or Workshop Item Item not available online. (24 June 2009)

Long-term prediction of time series by combining direct and MIMO strategies Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (14 June 2009)

Analyzing Movement Trajectories Using a Markov Bi-Clustering Method Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh and Moshe Abeles Article Item availablity restricted. (12 June 2009)

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin and Amaury Lendasse Book Section Item availablity restricted. (04 June 2009)

A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians Mikael Kuusela, Tapani Raiko, Antti Honkela and Juha Karhunen Conference or Workshop Item Item availablity restricted. (June 2009)

Analytic Moment-based Gaussian Process Filtering Marc Deisenroth, [Marco F] [Huber] and [Uwe D] [Hanebeck] Conference or Workshop Item Item not available online. (June 2009)

Bayesian Joint Estimation of CN and LOH Aberrations Marcus Hutter Conference or Workshop Item (June 2009)

Bit-Interleaved Coded Modulation Revisited: A Mismatched Decoding Perspective Alfonso Martinez, A. Guillén i Fàbregas, G. Caire and F.M.J. Willems Article Item not available online. (June 2009)

Characterizing predictable classes of processes Daniil Ryabko Conference or Workshop Item Item not available online. (June 2009)

Combining local feature histograms of different granularities Ville Viitaniemi and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)

Efficient Parallel Feature Selection for Steganography Problems Alberto Guillen, Antti Sorjamaa, Yoan Miche, Amaury Lendasse and Ignacio Rojas Book Section Item availablity restricted. (June 2009)

Generalization Bounds for Learning the Kernel Yiming Ying and Colin Campbell Article Item not available online. (June 2009)

Grammatical Inference as a Principal Component Analysis Problem Raphael Bailly, François Denis and Liva Ralaivola Conference or Workshop Item (June 2009)

Homogeneous Multi-Instance Learning with Arbitrary Dependence Sivan Sabato and Naftali Tishby Conference or Workshop Item (June 2009)

Hybrid Stochastic-Adversarial On-line Learning Alessandro Lazaric and Rémi Munos Conference or Workshop Item (June 2009)

Identifying confounders using additive noise models Dominik Janzing, Jonas Peters, Joris Mooij and Bernhard Schölkopf Conference or Workshop Item (June 2009)

Improving automatic video retrieval with semantic concept detection Markus Koskela, Mats Sjöberg and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)

Online Multi-task Learning with Hard Constraints Gábor Lugosi, Omiros Papaspiliopoulos and Gilles Stoltz Conference or Workshop Item (June 2009)

Optimal combination of SOM search in best-matching units and map neighborhood Mats Sjöberg and Jorma Laaksonen Conference or Workshop Item Item not available online. (June 2009)

RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks Fernando Mateo, Dusan Sovilj, Rafael Gadea and Amaury Lendasse Book Section Item availablity restricted. (June 2009)

Regression by dependence minimization and its application to causal inference Joris Mooij, Dominik Janzing, Jonas Peters and Bernhard Schölkopf Conference or Workshop Item (June 2009)

Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks Stefan Klampfl and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (June 2009)

Simulating Events of Unknown Probabilities via Reverse Time Martingales. Krzystof \L atuszy\'nski, K., Ioannis Kosmidis, Omiros Papaspiliopoulos and Gareth Roberts Article Item not available online. (June 2009)

Sparse Markov source estimation via transformed Lasso Teemu Roos and Bin Yu Conference or Workshop Item (June 2009)

STDP enables spiking neurons to detect hidden causes of their inputs Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (June 2009)

PCSIM: a parallel simulation environment for neural circuits fully integrated with Python Dejan Pecevski, Thomas Natschläger and Klaus Schuch Article Item not available online. (22 May 2009)

What is the place of Machine Learning between Pattern Recognition and Optimization? Antoine Cornuéjols and Laurent Miclet Conference or Workshop Item (06 May 2009)

Estimating the accuracy of satellite ephemerides using the bootstrap method Josselin Desmars, Sylvain Arlot, Jean-Eudes Arlot, Valery Lainey and Alain Vienne Article Item availablity restricted. (03 May 2009)

A Feature Selection Methodology for Steganalysis Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Article Item availablity restricted. (May 2009)

Discrépance et dispersion : des indicateurs optimaux en apprentissage ? Benoit Gandar, Gaëlle Loosli and Guillaume Deffuant Conference or Workshop Item Item not available online. (May 2009)

Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning Yongjun Liao, Mohamed Ali Kaafar, Bamba Gueye, François Cantin, Pierre Geurts and Guy Leduc Article Item not available online. (May 2009)

Genre classification using chords and stochastic language models Carlos Pérez-Sancho, David Rizo and José Iñesta Article Item availablity restricted. (May 2009)

An assertive will for seeing and believing: introducing a feature cardinality driven distance measure to uninformative distributions Joan Garriga Conference or Workshop Item Item availablity restricted. (27 April 2009)

Past-future information bottleneck in dynamical systems Felix Creutzig, Amir Globerson and Naftali Tishby Article Item availablity restricted. (27 April 2009)

A New Perspective for Information Theoretic Feature Selection Gavin Brown Conference or Workshop Item (18 April 2009)

Choosing a Variable to Clamp: Approximate Inference Using Conditioned Belief Propagation Frederik Eaton and Zoubin Ghahramani Conference or Workshop Item Item not available online. (15 April 2009)

Identifying targets of transcriptionally regulated transcription factors using dynamical models Antti Honkela, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item not available online. (02 April 2009)

Visualization by linear projections as information retrieval Jaakko Peltonen Conference or Workshop Item Item not available online. (02 April 2009)

ALT '07 Special Issue Marcus Hutter and R.A. Servedio Article (April 2009)

Fast dependent components for fMRI analysis Eerika Savia, Arto Klami and Samuel Kaski Conference or Workshop Item Item not available online. (April 2009)

Learning exercise policies for american options Y Li, Csaba Szepesvari and D Schuurmans Conference or Workshop Item Item not available online. (April 2009)

Locally minimax optimal predictive modeling with Bayesian networks Tomi Silander, Teemu Roos and Petri Myllymäki Conference or Workshop Item (April 2009)

Mining probabilistic automata: a statistical view of sequential pattern mining Stéphanie Jacquemont, François Jacquenet and Marc Sebban Article Item not available online. (April 2009)

PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (April 2009)

Transformations for Variational Factor Analysis to Speed up Learning Jaakko Luttinen, Alexander Ilin and Tapani Raiko Conference or Workshop Item (April 2009)

Strict FDR-control based on the asymptotically optimal rejection curve Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus Conference or Workshop Item Item not available online. (26 March 2009)

Strict FDR-control based on the asymptotically optimal rejection curve Helmut Finner, Veronika Gontscharuk and Thorsten Dickhaus Conference or Workshop Item Item not available online. (17 March 2009)

Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets Teemu Roos and Tuomas Heikkilä Article Item availablity restricted. (14 March 2009)

Gaussian Process Dynamic Programming Marc Deisenroth, Carl Edward Rasmussen and Jan Peters Article (13 March 2009)

DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli Karen Lemmens, Tijl De Bie, Thomas Dhollander, Sigrid De Keersmaecker, Inge Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jozef Vanderleyden, Julio Collado-Vides, Kristof Engelen and Kathleen Marchal Article Item not available online. (06 March 2009)

The Minimum Information Principle and its Application to Neural Code Analysis Amir Globerson, Eran Stark, Eilon Vaadia and Naftali Tishby Article Item availablity restricted. (03 March 2009)

Another look at indirect negative evidence Alexander Clark and Shalom Lappin Conference or Workshop Item (March 2009)

Exact Non-Parametric Bayesian Inference on Infinite Trees Marcus Hutter Article (March 2009)

Feature Dynamic Bayesian Networks Marcus Hutter Conference or Workshop Item (March 2009)

Feature Markov Decision Processes Marcus Hutter Conference or Workshop Item (March 2009)

Matrix centering and low-rank approximation I Markovsky Monograph Item not available online. (March 2009)

Reliable Steganalysis Using a Minimum Set of Samples and Features Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Article Item availablity restricted. (March 2009)

Second Conference of Artificial General Intelligence Ben Goertzel, Pascal Hitzler and Marcus Hutter Book (March 2009)

Using a similarity measure for credible classification Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer Article Item not available online. (March 2009)

Pure exploration for multi-armed bandit problems Sébastien Bubeck, Rémi Munos and Gilles Stoltz Monograph (15 February 2009)

Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors Wouter Koolen and Tim van Erven Conference or Workshop Item Item not available online. (13 February 2009)

An improved methodology for filling missing values in spatiotemporal climate data set Antti Sorjamaa, Amaury Lendasse, Yves Cornet and Eric Deleersnijder Article Item availablity restricted. (12 February 2009)

Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues Eyal Baharad, Jacob Goldberger, Moshe Koppel and Shmuel Nitzan Article (12 February 2009)

Data-driven Calibration of Penalties for Least-Squares Regression Sylvain Arlot and Pascal Massart Article Item not available online. (February 2009)

Finding interesting itemsets using a probabilistic model for binary databases Tijl De Bie Monograph Item not available online. (February 2009)

Hebbian learning of Bayes optimal decisions Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (February 2009)

Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Monograph (February 2009)

Practical Robust Estimators under the Imprecise Dirichlet Model Marcus Hutter Article (February 2009)

ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules Hong Sun, Tijl De Bie, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Mieke Verstuyf, Bart De Moor and Kathleen Marchal Article Item not available online. (30 January 2009)

Online Prediction on Large Diameter Graphs Mark Herbster, Guy Lever and Massimiliano Pontil Conference or Workshop Item (21 January 2009)

Supervised nonlinear dimensionality reduction by neighbor retrieval Jaakko Peltonen, Helena Aidos and Samuel Kaski Conference or Workshop Item Item not available online. (16 January 2009)

A Variational Approach to Semi-Supervised Clustering Peng Li, Yiming Ying and Colin Campbell Conference or Workshop Item (01 January 2009)

Bayesian DNA Copy Number Analysis Marcus Hutter Article (January 2009)

Coding on Countably Infinite alphabets Stephane Boucheron, Aurelien Garivier and Elisabeth Gassiat Article Item availablity restricted. (January 2009)

Coding on countably infinite alphabets Stephane Boucheron, Aurelien Garivier and Elisabeth Gassiat Article (January 2009)

Learning Complex Motions by Sequencing Simpler Motion Templates Gerhard Neumann and Jan Peters Conference or Workshop Item Item not available online. (January 2009)

When training and test sets are different: characterising learning transfer Amos Storkey Book Section Item not available online. (January 2009)

An impossibility result for process discrimination Daniil Ryabko Conference or Workshop Item Item not available online. (2009)

Computational Intelligence and Machine Learning in Bioinformatics Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli Article Item availablity restricted. (2009)

Unsupervised stability-based ensembles to discover reliable structures in complex bio-molecular data Alberto Bertoni and Giorgio Valentini Book Section Item availablity restricted. (2009)

A Bernstein-von Mises Theorem for discrete probability distributions Stéphane Boucheron and Elisabeth Gassiat Article (2009)

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Article Item not available online. (2009)

A faster model selection criterion for OP-ELM and OP-KNN: HQ criterion Yoan Miche and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2009)

A 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)

Complete blind subspace deconvolution Zoltan Szabo Conference or Workshop Item Item availablity restricted. (2009)

Complexity versus Agreement for Many Views Odalric-Ambrym Maillard and Nicolas Vayatis Book Section (2009)

Computational Intelligence and Machine Learning in Bioinformatics Giorgio Valentini, Roberto Tagliaferri and Francesco Masulli Article Item not available online. (2009)

Controlled complete ARMA independent process analysis Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)

Correlated non-parametric latent feature models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Covariate Shift by Kernel Mean Matching A. Gretton, A.J. Smola, J. Huang, M. Schmittfull, K.M. Borgwardt and B. Schölkopf Book Section Item not available online. (2009)

Data fusion based gene function prediction using ensemble methods. Matteo Re and Giorgio Valentini Conference or Workshop Item (2009)

Data Integration and Opportunities in Biological XML Data Management M. Mesiti, E. J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset Book Section Item not available online. (2009)

Data Integration and Opportunities in Biological XML Data Management M. Mesiti, E.J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset Book Section (2009)

Delaunay tessellation and topological regression: An application to estimating product properties Francesco Corona, Elia Liitiainen, Amaury Lendasse, Roberto Baratti and Lorenzo Sassu Book Section Item not available online. (2009)

Denoising photographs using dark frames optimized by quadratic programming M. Gomez Rodriguez, J. Kober and B. Schölkopf Conference or Workshop Item Item not available online. (2009)

Diffeomorphic Dimensionality Reduction C. Walder and B. Schölkopf Conference or Workshop Item (2009)

Discovering temporal patterns of differential gene expression in microarray time series Oliver Stegle, K Denby, S McHattie, S Meade, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item (2009)

Does Cognitive Science Need Kernels? F. Jäkel, B. Schölkopf and F.A. Wichmann Article (2009)

Does Dimensionality Reduction Improve the Quality of Motion Interpolation? Sebastian Bitzer, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (2009)

Dutch Bokks and Combinatorial Games Peter Harremoes Conference or Workshop Item (2009)

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance J. Hill, J. Farquhar, S.M.M. Martens, F. Biessmann and B. Schölkopf Conference or Workshop Item (2009)

Eliciting vague but proper maximal entropy priors in Bayesian experiments Nicolas Bousquet Article Item not available online. (2009)

Enhanced protein fold recognition through a novel data integration approach Yiming Ying, Kaizhu Huang and Colin Campbell Article (2009)

Ensemble based Data Fusion for Gene Function Prediction Matteo Re and Giorgio Valentini Article (2009)

Estimating Facial Reflectance Properties using Shape-from-shading William Smith and Edwin Hancock Article Item not available online. (2009)

Estimation of high-dimensional low rank matrices A. Rohde and A.B. Tsybakov Other (2009)

Exploration-exploitation trade-off using variance estimates in multi-armed bandits Jean-Yves Audibert, Remi Munos and Csaba Szepesvari Article (2009)

Exploring Scale-Induced Feature Hierarchies in Natural Images Jukka Perkiö, Tinne Tuytelaars and Wray Buntine Conference or Workshop Item Item not available online. (2009)

Factorial mixture of gaussians and the marginal independence model Ricardo Silva and Zoubin Ghahramani Conference or Workshop Item (2009)

Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions D. Corfield, B. Schölkopf and V. Vapnik Article (2009)

Fast gradient-descent methods for temporal-difference learning with linear function approximation R. S. Sutton, H. R. Maei, D Precup, S Bhatnagar, D Silver, Csaba Szepesvari and E Wiewiora Conference or Workshop Item Item not available online. (2009)

Fast parallel estimation of high dimensional information theoretical quantities with low dimensional random projection ensembles Zoltan Szabo and András Lorincz Conference or Workshop Item Item availablity restricted. (2009)

Finiteness of Redundancy, Regret, Shtarkov Sums, and Jeffreys Integrals in Exponential Families Peter Grünwald and Peter Harremoes Conference or Workshop Item (2009)

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article (2009)

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article Item availablity restricted. (2009)

Gaussian processes and fast matrix-vector multiplies Iain Murray Conference or Workshop Item (2009)

Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE E Valen, O Winther, A Sandelin and P Carninci Article (2009)

Genome-wide hierarchical classification of gene function. Nicolò Cesa-Bianchi and Giorgio Valentini Conference or Workshop Item Item not available online. (2009)

Global alignment of protein-protein interaction networks by graph matching methods mikhail zaslavskiy, Francis Bach and Jean-Philippe Vert Article (2009)

Graph characteristics from the heat kernel trace Bai Xiao, Richard Wilson and Edwin Hancock Article Item not available online. (2009)

GridR: An R-based tool for scientific data analysis in grid environments Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping and Anthony Assi Article Item availablity restricted. (2009)

Group Lasso with Overlaps and Graph Lasso laurent jacob, Guillaume Obozinski and Jean-Philippe Vert Book Section (2009)

GSML: A unified framework for sparse metric learning Kaizhu Huang, Yiming Ying and Colin Campbell Conference or Workshop Item Item not available online. (2009)

Hierarchical Learning of Dimensional Biases in Human Categorization Katherine Heller, Adam Sanborn and Nick Chater Conference or Workshop Item (2009)

Hybrid Stochastic-Adversarial On-line Learning Alessandro Lazaric and Rémi Munos Article (2009)

Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration M. Hofmann, B. Schölkopf, I. Bezrukov and N.D. Cahill Conference or Workshop Item (2009)

Indian Buffet Processes with Power-law Behavior Yee Whye Teh and Dilan Gorur Conference or Workshop Item (2009)

Individual Sequence Prediction using Memory-efficient Context Trees Ofer Dekel, Shai Shalev-Shwartz and Yoram Singer Article (2009)

Kernel Methods for Detecting the Direction of Time Series J. Peters, D. Janzing, A. Gretton and B. Schölkopf Conference or Workshop Item (2009)

Kernel Methods for Detecting the Direction of Time Series Jonas Peters, Dominik Janzing and Arthur Gretton Article (2009)

Kernel Methods in Medical Imaging G. Charpiat, M. Hofmann and B. Schölkopf Book Section Item not available online. (2009)

Kernel Polytope Faces Pursuit Tom Diethe and Zakria Hussain Article (2009)

Latent grouping models for user preference prediction Eerika Savia, Kai Puolamäki and Samuel Kaski Article Item not available online. (2009)

Learning from multi-level behaviours in agent-based simulations: A Systems Biology application Chih-Chun Chen and David Hardoon Article Item not available online. (2009)

Learning unknown graphs Nicolò Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item Item not available online. (2009)

Learning with incomplete information in the Committee Machine Urs M Bergmann, Reimer Kuehn and Ion O Stamatescu Article (2009)

Leveraging Sequence Classiﬁcation by Taxonomy-based Multitask Learning Christian Widmer, Jose Leiva, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (2009)

Linear Combination of SOMs for Data Imputation: Application to Financial Problems Antti Sorjamaa, Francesco Corona, Amaury Lendasse, Yoan Miche and Eric Severin Conference or Workshop Item Item availablity restricted. (2009)

Long-Term Prediction of Time Series by combining Direct and MIMO Strategies Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (2009)

Machine Learning Journal special issue on Mining and Learning with Graphs Thomas Gaertner and Gemma Garriga Other Item not available online. (2009)

Markerless 3D Face Tracking C. Walder, M. Breidt, H.H. Bülthoff, B. Schölkopf and C. Curio Conference or Workshop Item (2009)

MDL denoising revisited Teemu Roos, Petri Myllymäki and Jorma Rissanen Article (2009)

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

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

Model selection by resampling penalization Sylvain Arlot Article (2009)

Modelling image complexity by independent component analysis, with application to content-based image retrieval Jukka Perkiö and Aapo Hyvärinen Conference or Workshop Item Item not available online. (2009)

Monte Carlo maximum likelihood estimation for discretely observed diffusion processes Omiros Papaspiliopoulos, Gareth Roberts and Alex Beskos Article Item not available online. (2009)

Multi-task Gaussian Process Learning of Robot Inverse Dynamics Kian Ming Chai, Christopher Williams, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (2009)

Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Book Section (2009)

Noisy Independent Factor Analysis Model for Density Estimation and Classification U. Amato, A. Antoniadis, A. Samarov and A.B. Tsybakov Other (2009)

Nonlinear causal discovery with additive noise models P.O. Hoyer, D. Janzing, J.M. Mooij, J. Peters and B. Schölkopf Conference or Workshop Item (2009)

Nonlinear causal discovery with additive noise models Patrik Hoyer, Dominik Janzing, Joris Mooij, Jonas Peters and Bernhard Schoelkopf Article (2009)

On concentration of self-bounding functions Stephane Boucheron, Gábor Lugosi and Pascal Massart Article Item not available online. (2009)

On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padraic Smyth and Yee Whye Teh Conference or Workshop Item (2009)

On the False Discovery Rate and an Asymptotically Optimal Rejection Curve Helmut Finner, Thorsten Dickhaus and Markus Roters Article (2009)

Online blind deconvolution for Astronomy S. Harmeling, M. Hirsch, S. Sra and B. Schölkopf Conference or Workshop Item Item not available online. (2009)

Online multi-task learning with hard constraints Gábor Lugosi, Omiros Papaspiliopoulos and Gilles Stoltz Conference or Workshop Item Item not available online. (2009)

Optimization of k-Space Trajectories by Bayesian Experimental Design M. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Conference or Workshop Item Item not available online. (2009)

PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. Yevgeny Seldin and Naftali Tishby Article (2009)

Probabilistic models for incomplete multi-dimensional arrays Wei Chu and Zoubin Ghahramani Conference or Workshop Item (2009)

Prostate Cancer Classification using Multispectral Imagery and Meta Heuristics Muhammad Tahir, Ahmed Bouridane and M.A. Roula Book Section Item not available online. (2009)

Prototype Classification: Insights from Machine Learning A.B.A. Graf, O. Bousquet, G. Rätsch and B. Schölkopf Article (2009)

Pure Exploration in Multi-armed Bandits Problems Sébastien Bubeck, Rémi Munos and Gilles Stoltz Article Item not available online. (2009)

R/BHC:Fast Bayesian Hierarchical Clustering for Microarray Data R.S. Savage, Katherine Heller, Yang Xu, Zoubin Ghahramani, W.M. Truman, M. Grant, K.J. Denby and David Wild Article (2009)

Ranking in the algebra of the symmetric group Risi Kondor and Marconi Barbosa Conference or Workshop Item (2009)

Ranking Interesting Subgroups Stefan Rüping Conference or Workshop Item Item availablity restricted. (2009)

Regret and Jeffreys Integrals in Exp. Families Peter Grünwald and Peter Harremoes Conference or Workshop Item (2009)

Regularized fitted q-iteration for planning in continuous-space markovian decision problems A. m. Farahmand, M. Ghavamzadeh, Csaba Szepesvari and S. Mannor Conference or Workshop Item Item not available online. (2009)

Reinforcement learning algorithms for MDPs Csaba Szepesvari Article Item not available online. (2009)

Reliable Steganalysis Using a Minimum Set of Samples and Features Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Article Item availablity restricted. (2009)

Residual Variance Estimation in Machine Learning Elia Liitiäinen, Michel Verleysen, Francesco Corona and Amaury Lendasse Article Item availablity restricted. (2009)

Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures Roi Reichart and Ari Rappoport Conference or Workshop Item (2009)

Scale Invariance and Noise in Natural Images Daniel Zoran and Yair Weiss Article (2009)

Semi-Supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss and Antonio Torralba Article (2009)

Sparse classification boundaries Yu. Ingster, C. Pouet and A.B. Tsybakov Other (2009)

Sparse online model learning for robot control with support vector regression D. Nguyen-Tuong, B. Schölkopf and J. Peters Conference or Workshop Item Item not available online. (2009)

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)