PASCAL - Subject: Learning/Statistics & Optimisation

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

Face recognition from caption-based supervision Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek and Cordelia Schmid Article (2012)

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

Domain Adaptation in the Context of Sport Video Action Recognition Nazli Faraji Davar, Teo de Campos, David Windridge, Josef Kittler and William Christmas Conference or Workshop Item (17 December 2011)

Online solution of the average cost Kullback-Leibler optimization problem Joris Bierkens and Bert Kappen Conference or Workshop Item Item availablity restricted. (16 December 2011)

Gaussian Process Training with Input Noise Andrew McHutchon and Carl Edward Rasmussen Conference or Workshop Item (14 December 2011)

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

Kick-starting GPLVM Optimization via a Connection to Metric MDS Sebastian Bitzer and Christopher Williams Conference or Workshop Item (10 December 2011)

Additive Gaussian Processes David Duvenaud, Hannes Nickisch and Carl Rasmussen Article Item not available online. (December 2011)

Additive Gaussian Processes David Duvenaud, Hannes Nickisch and Carl Edward Rasmussen Article Item not available online. (December 2011)

Sparse Domain Adaptation in Projection Spaces based on Good Similarity Functions Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (December 2011)

A Graph Theoretic Approach to Gender Classification Zhihong Zhang, Edwin Hancock and Jing Wu Article (13 November 2011)

Smooth Object Retrieval using a Bag of Boundaries R Arandjelovi and Andrew Zisserman Conference or Workshop Item (06 November 2011)

BiCoS: A Bi-level Co-Segmentation Method for Image Classification Y Chai, Victor Lempitsky and Andrew Zisserman Conference or Workshop Item (November 2011)

Branch and Bound Strategies for Non-maximal Suppression in Object Detection Matthew Blaschko Conference or Workshop Item (November 2011)

Learning Equivariant Structured Output SVM Regressors Andrea Vedaldi, Matthew Blaschko and Andrew Zisserman Conference or Workshop Item (November 2011)

Modeling Spatial Layout with Fisher Vectors for Image Categorization Josip Krapac, Jakob Verbeek and Frederic Jurie Conference or Workshop Item (November 2011)

Tabula Rasa: Model Transfer for Object Category Detection Yusuf Aytar and Andrew Zisserman Conference or Workshop Item (November 2011)

The devil is in the details: an evaluation of recent feature encoding methods Ken Chatfield, Victor Lempitsky, Andrea Vedaldi and Andrew Zisserman Conference or Workshop Item (November 2011)

The Truth About Cats and Dogs O Parkhi, Andrea Vedaldi, C.V. Jawahar and Andrew Zisserman Conference or Workshop Item (November 2011)

Unsupervised Metric Learning for Face Identification in TV Video Gokberk Cinbis, Jakob Verbeek and Cordelia Schmid Conference or Workshop Item (November 2011)

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

Novel Fusion Methods for Pattern Recognition Muhammad Awais, Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item (04 September 2011)

Adaptive Aggregation for Reinforcement Learning in Average Reward Markov Decision Processes Ronald Ortner Article Item not available online. (September 2011)

Datum-wise classification. A sequential Approach to sparsity Gabriel Arnold-Dulac, Ludovic Denoyer, Philippe Preux and Patrick Gallinari Conference or Workshop Item Item not available online. (September 2011)

Learning Tree-structured Descriptor Quantizers for Image Categorization Josip Krapac, Jakob Verbeek and Frederic Jurie Conference or Workshop Item (September 2011)

On the Usefulness of Similarity Based Projection Spaces for Transfer Learning Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (September 2011)

Soft Assignment Of Visual Words As Linear Coordinate Coding And Optimisation Of Its Reconstruction Error Piotr Koniusz and Krystian Mikolajczyk Article (September 2011)

Spatial Coordinate Coding To Reduce Histogram Representations, Dominant Angle And Colour Pyramid Match Piotr Koniusz and Krystian Mikolajczyk Article (September 2011)

Spatial Fisher Vectors for Image Categorization Josip Krapac, Jakob Verbeek and Frederic Jurie Monograph (September 2011)

The HasGP user manual Sean Holden Monograph (September 2011)

Augmented Kernel Matrix vs Classifier Fusion for Object Recognition Muhammad Awais, Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item (29 August 2011)

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)

Nowcasting Events from the Social Web with Statistical Learning Vasileios Lampos and Nello Cristianini Article Item not available online. (August 2011)

Efficient Multi-Start Strategies for Local Search Algorithms Andras Gyorgy and Levente Kocsis Article Item not available online. (July 2011)

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

Region-Based Image Classification with a Latent SVM Model Oksana Yakhnenko, Jakob Verbeek and Cordelia Schmid Monograph (July 2011)

Two-stage Augmented Kernel Matrix for Object Recognition Muhammad Awais, Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item (15 June 2011)

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

A coarse-to-fine approach for fast deformable object detection M Pedersoli, Andrea Vedaldi and Jordi Gonzalez Conference or Workshop Item (June 2011)

Early Identification of Peer-To-Peer Traffic Béla Hullár, Sándor Laki and Andras Gyorgy Conference or Workshop Item Item not available online. (June 2011)

Functional Regularized Least Squares Classification with Operator-Valued Kernels Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos and Alain Rakotomamonjy Conference or Workshop Item (June 2011)

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

Learning structured prediction models for interactive image labeling Thomas Mensink, Jakob Verbeek and Gabriela Csurka 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)

Model Based Learning of Sigma Points in Unscented Kalman Filtering Ryan Turner and Carl Edward Rasmussen Article Item availablity restricted. (June 2011)

Physiological Monitoring with Factorial Switching Linear Dynamical Systems John Quinn and Christopher Williams Book Section (31 May 2011)

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

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

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)

True Path Rule hierarchical ensembles for genome-wide gene function prediction Giorgio Valentini Article (May 2011)

A Multi-kernel Framework for Inductive Semi-supervised Learning Xilan Tian, Gilles Gasso and Stéphane Canu Conference or Workshop Item (April 2011)

A supervised strategy for deep kernel machine Florian Yger, Maxime Berar, Gilles Gasso and Alain Rakotomamonjy Conference or Workshop Item (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)

EPIBLASTER-Fast exhaustive two-locus epistasis detection strategy using graphical processing units Tony Kam-Thong, Darina Czamara, Koji Tsuda, Karsten Borgwardt, Cathryn M. Lewis, Angelika Erhardt-Lehmann, Bernhard Hemmer, Peter Rieckmann, Markus Daake, Frank Weber, Christiane Wolf, Andreas Ziegler, Benno Pütz, Florian Holsboer, Bernhard Schölkopf and Bertram Müller-Myhsok Article Item not available online. (April 2011)

Experiments Using Semantics for Learning Language Comprehension and Production Dana Angluin and Leonor Becerra Book Section Item not available online. (April 2011)

Harvesting Image Databases from the Web Florian Schroff, Antonio Criminisi and Andrew Zisserman Article (April 2011)

Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Sören Sonnenburg and Alexander Zien Article (April 2011)

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

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

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

Generalised Wishart Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (18 March 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 hybrid supervised-unsupervised visual vocabulary algorithm for concept recognition Alexander Binder, Wojciech Wojcikiewicz, Christina Mueller and Motoaki Kawanabe Book Section Item not available online. (15 March 2011)

Sparsity with sign-coherent groups of variables via the cooperative-Lasso Julien Chiquet, Yves Grandvalet and Camille Charbonnier Article (14 March 2011)

A 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)

The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning Marius Kloft and Gilles Blanchard Article (03 March 2011)

On the Rate of Convergence of the St. Petersburg Game. Laszlo Gyorfi and Péter Kevei Article Item not available online. (01 March 2011)

A continuous optimization framework for hybrid system identification fabien lauer, Gérard Bloch and René Vidal Article Item not available online. (March 2011)

A polynomial characterization of hypergraphs using the Ihara zeta function Peng Ren, Tatjana Aleksić, Edwin Hancock and Richard Wilson Article Item not available online. (March 2011)

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies Yann Guermeur and E. Monfrini Article Item availablity restricted. (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)

Time Series Analysis with the Causality Workbench Isabelle Guyon, Alexander Statnikov and Constantin Aliferis Conference or Workshop Item (March 2011)

Toward a classification of finite partial-monitoring games András Antos, Gábor Bartók, Dávid Pál and Csaba Szepesvari Article Item not available online. (21 February 2011)

Long range theta-coupling between V4 and lateral prefrontal cortex predicts visual short-term memory performance Stefanie Liebe, Gregor Hörzer, Nikos Logothetis and Gregor Rainer Article Item not available online. (17 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)

Spectra of Modular and Small-World Matrices Reimer Kuehn and Jort M van Mourik Article (08 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)

Dimensionality Reduction for Data Visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (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)

Graph Characterization via Ihara Coefficients Peng Ren, Richard Wilson and Edwin Hancock 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)

Inference Methods for CRFs with Co-occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr Article (20 January 2011)

On taxonomies for multi-class image categorization Alexander Binder, Klaus-Robert Müller and Motoaki Kawanabe Article (15 January 2011)

Large-Scale Vehicle Detection in Challenging Urban Surveillance Environments Rogerio Feris, James Petterson, Behjat Siddiquie, Lisa Brown and Sharath Pankanti Conference or Workshop Item (05 January 2011)

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

Extended Input Space Support Vector Machine Ricardo Santiago-Mozos, Fernando Pérez-Cruz and Antonio Artes-Rodriguez Article Item not available online. (January 2011)

Improved Moves for Truncated Convex Models Pawan Kumar, Olga Veksler and Philip Torr Article (January 2011)

Joint genetic analysis of gene expression data with inferred cellular phenotypes Leopold Parts, Oliver Stegle, John Winn and Richard Durbin Article Item not available online. (January 2011)

Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks Rocío Arroyo-Valles, Antonio García-Marques and Jesus Cid-Sueiro Article Item not available online. (January 2011)

Supervised relevance maps for increasing the distinctiveness of facial images Edwin Hancock, Jing Wu and Michael Kawulok Article Item not available online. (January 2011)

Training SVMs without offset Ingo Steinwart, Don Hush and Clint Scovel Article Item not available online. (January 2011)

A characterization of the reconfiguration space of self-reconfiguring robotic systems. Subramanian Ramamoorthy and Thomas Larkworthy Article Item not available online. (2011)

A Gaussian Process Classification Approach to Binary Preference Learning Ferenc Huszar Conference or Workshop Item 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)

A Unifying View of Multiple Kernel Learning Marius Kloft, Ulrich Rückert and Peter L. Bartlett Conference or Workshop Item (2011)

Abstract movement representations Elmar Rückert, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Article Item not available online. (2011)

Active exploration for robot parameter selection in episodic reinforcement learning Oliver Kroemer and Jan Peters Conference or Workshop Item Item not available online. (2011)

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

Adaptive One-Class Support Vector Machine Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla and Angel Navia-Vazquez Article Item availablity restricted. (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)

Batch and online learning algorithms for nonconvex Neyman-Pearson classiﬁcation Gilles Gasso, Aristidis Pappaioannou, Marina Spivak and Leon Bottou Article (2011)

Bootstrapping apprenticeship learning Abdeslam Boularias and Brahim Chaib-Draa Conference or Workshop Item Item availablity restricted. (2011)

Color Names Robert Benavente, maria Vanrell, Cordelia Schmid, Ramon Baldrich, Jakob Verbeek, Diane Larlus and Joost van de weijer Book Section Item not available online. (2011)

Complexity of Inference in Latent Dirichlet Allocation David Sontag and Daniel Roy 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)

Efficient multioutput gaussian processes through variational inducing kernels Mauricio Alvarez, David Luengo-Garcia, Michalis Titsias and Neil Lawrence Article (2011)

Estimating conditional quantiles with the help of the pinball loss Ingo Steinwart and Andreas Christmann Article Item not available online. (2011)

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

Hand detection using multiple proposals Arpit Mittal, Andrew Zisserman and Philip Torr Conference or Workshop Item (2011)

Handling Expensive Optimization with Large Noise Rémi Coulom, Philippe Rolet, Nataliya Sokolovska and Olivier Teytaud Conference or Workshop Item Item not available online. (2011)

Human Instance Segmentation from Video using Detector-based Conditional Random Fields Vibhav Vineet, Jonathan Warrell, Lubor Ladicky and Philip Torr Conference or Workshop Item (2011)

Inferring a measure of physiological age from multiple ageing related phenotypes David Knowles, Leopold Parts, Daniel Glass and John Winn Conference or Workshop Item (2011)

Learning a Category Independent Object Detection Cascade E Rahtu, J Kannala and Matthew Blaschko Conference or Workshop Item (2011)

Learning from Noisy Data under Distributional Assumptions Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2011)

Learning functional linkage networks with a cost-sensitive approach Alberto Bertoni, Marco Frasca, Guliano Grossi and Giorgio Valentini Conference or Workshop Item (2011)

Learning Readers' News Preferences with Support Vector Machines Elena Hensinger, Ilias Flaounas and Nello Cristianini Conference or Workshop Item Item availablity restricted. (2011)

Learning to Rank and Quadratic Assignment Thomas Mensink, Jakob Verbeek and Tiberio Caetano Conference or Workshop Item (2011)

Linear Support Vector Machines Lubor Ladicky and Philip Torr Conference or Workshop Item (2011)

Locally Multiple-Instance Learning with Structured Bag Models Jonathan Warrell and Philip Torr Conference or Workshop Item (2011)

Message Passing Algorithms for the Dirichlet Diffusion Tree David Knowles, Jurgen van Gael and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2011)

Micropollutant removal via genetic algorithms and high throughput experimentation Angels Cano Odena, M. Spilliers, T. Dedroog, Kurt De Grave, Jan Ramon and Ivo Vankelecom 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)

Multiple Kernel Learning for Drug Discovery Nicholas Pilkington, Matthew Trotter and Sean Holden Article Item not available online. (2011)

Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval Fei Yan, Krystian Mikolajczyk and Josef Kittler Conference or Workshop Item Item not available online. (2011)

Non-conjugate variational message passing for multinomial and binary regression David Knowles and Thomas P. Minka 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)

Online Anomaly Detection under Adversarial Impact Marius Kloft and Pavel Laskov Conference or Workshop Item (2011)

Online group-structured dictionary learning Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item Item availablity restricted. (2011)

Pitman-Yor diffusion trees David Knowles and Zoubin Ghahramani Conference or Workshop Item (2011)

Projective Limit Random Probabilities on Polish Spaces Peter Orbanz Article (2011)

Proposal Generation for Object Detection using Cascaded Ranking SVMs Ziming Zhang, Jonathan Warrell and Philip Torr Conference or Workshop Item (2011)

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

Results of the Active Learning Challenge Isabelle Guyon, Gavin Cawley, Gideon Dror and Vincent Lemaire Conference or Workshop Item (2011)

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

Semi-supervised Kernel Canonical Correlation Analysis with Application to Human fMRI Matthew Blaschko, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert and Arthur Gretton Article (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)

Structured Output Prediction of Novel Enzyme Function with Reaction Kernels Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Book Section Item not available online. (2011)

Surveying and comparing simultaneous sparse approximation (or group lasso) algorithms Alain Rakotomamonjy Article Item not available online. (2011)

The Degrees of Freedom of Partial Least Squares Regression Nicole Krämer and Masashi Sugiyama Article (2011)

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

The Light-Path Less Traveled S Ramalingham, Sofien Bouaziz, Peter Sturm and Philip Torr Conference or Workshop Item (2011)

Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation Thomas Mensink, Jakob Verbeek and Gabriela Csurka Monograph (2011)

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin and Philip Torr Article (21 December 2010)

Inter-subject variability in the upper-lower limb breaststroke coordination L. Seifert, H. Leblanc, Romain Hérault, C. Button, J. Komar and D. Chollet Article Item not available online. (18 December 2010)

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)

Scalability Issues in Authorship Attribution Kim Luyckx Thesis Item availablity restricted. (07 December 2010)

Learning To Count Objects in Images Victor Lempitsky and Andrew Zisserman Conference or Workshop Item (06 December 2010)

Multitask Learning without Label Correspondences. Novi Quadrianto, Alex Smola, Tiberio Caetano, S V N Vishwanathan and James Petterson Conference or Workshop Item (06 December 2010)

Online Markov decision processes under bandit feedback Gergely Neu, Andras Gyorgy, Csaba Szepesvari and András Antos Conference or Workshop Item Item availablity restricted. (06 December 2010)

Reverse Multi-Label Learning James Petterson and Tiberio Caetano Conference or Workshop Item (06 December 2010)

Simultaneous Object Detection and Ranking with Weak Supervision Matthew Blaschko, Andrea Vedaldi and Andrew Zisserman Conference or Workshop Item (06 December 2010)

Variational bounds for mixed-data factor analysis Emtiyaz Khan, Ben Marlin, Guillaume Bouchard and Kevin Murphy Conference or Workshop Item (06 December 2010)

Word Features for Latent Dirichlet Allocation James Petterson, Alex Smola, Tiberio Caetano, Wray Buntine and Shravan Narayanamurthy Conference or Workshop Item (06 December 2010)

Grammatical Inference's Adventures in Machine Learning Land Jean-Christophe Janodet Thesis (03 December 2010)

Introduction to Dual Decomposition for Inference David Sontag, Amir Globerson and Tommi Jaakkola Book Section Item availablity restricted. (01 December 2010)

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

A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining Jagan Varadarajan, Rémi Emonet and Jean-Marc Odobez Conference or Workshop Item (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)

Advertising Campaigns Management: Should We Be Greedy? sertan girgin, Jeremie Mary, Philippe Preux and olivier nicol Conference or Workshop Item Item not available online. (December 2010)

An Approximate Inference Approach to Temporal Optimization in Optimal Control Konrad Rawlik, Sethu Vijayakumar and Marc Toussaint Conference or Workshop Item (December 2010)

Bayesian Networks for Expert Systems, Theory and Practical Applications Wim Wiegerinck, Bert Kappen and Willem Burgers Book Section Item not available online. (December 2010)

Copula Bayesian Networks Gal Elidan Article (December 2010)

Exact learning curves for Gaussian process regression on large random graphs Matthew Urry and Peter Sollich Conference or Workshop Item (December 2010)

Gaussian Process Preference Elicitation Edwin Bonilla, Shengbo Guo and Scott Sanner Article (December 2010)

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

Inferring Multiple Regulation Networks Julien Chiquet, Yves Grandvalet and Christophe Ambroise 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)

Learning from Candidate Labeling Sets Luo Jie and Francesco Orabona Conference or Workshop Item (December 2010)

LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos and Odalric-Ambrym Maillard Conference or Workshop Item (December 2010)

LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (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)

Monte-Carlo Simulation Balancing Applied to 9x9 Go SShih-Chieh Huang, Rémi Coulom and Shun-Shii Lin Article Item not available online. (December 2010)

New Adaptive Algorithms for Online Classification Francesco Orabona and Koby Crammer Conference or Workshop Item (December 2010)

Online algorithms for submodular minimization with combinatorial constraints Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (December 2010)

Online Markov Decision Processes under Bandit Feedback Gergely Neu, Andras Gyorgy, Csaba Szepesvari and András Antos Book Section Item not available online. (December 2010)

Optimal Learning Rates for Kernel Conjugate Gradient Regularization Gilles Blanchard and Nicole Krämer Conference or Workshop Item (December 2010)

Optimal Learning Rates for Kernel Conjugate Gradient Regularization Gilles Blanchard and Nicole Krämer Article (December 2010)

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

Risk Sensitive Path Integral Control Bart Broek, Bert Kappen and Bert Kappen Conference or Workshop Item Item not available online. (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)

Robust Rigid Shape Registration Method using a Level Set Formulation Muayed Al-Huseiny, Sasan Mahmoodi and Mark Nixon Conference or Workshop Item (31 November 2010)

Graph Characterization via Ihara Coefficients Peng Ren, Richard Wilson and Edwin Hancock Article 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)

An Artificial Experimenter for Enzymatic Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (18 November 2010)

Transductive Transfer Learning for Action Recognition in Tennis Games Nazli Faraji Davar, Teo de Campos, Josef Kittler and Fei Yan Conference or Workshop Item (13 November 2010)

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

A generic model of multi-class support vector machine Yann Guermeur Article Item availablity restricted. (01 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)

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

Finite-Sample Analysis of Bellman Residual Minimization Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric and Mohammad Ghavamzadeh Conference or Workshop Item (November 2010)

Joint Source and Channel Coding Maria Fresia, Fernando Perez-Cruz, Vincent Poor and Sergio Verdu Article (November 2010)

LSPI with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard and Rémi Munos Monograph Item not available online. (November 2010)

The Iso-lambda Descent Algorithm for the LASSO Manuel Loth and Philippe Preux Conference or Workshop Item Item not available online. (November 2010)

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

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Novel Machine Learning Methods for MHC Class I Binding Prediction Christian Widmer, Nora C Toussaint, Yasemin Altun, Oliver Kohlbacher and Gunnar Raetsch Conference or Workshop Item Item availablity restricted. (22 September 2010)

Efficient planning in large POMDPs through policy graph based factorized approximations Joni Pajarinen, Jaakko Peltonen, Ari Hottinen and Mikko A. Uusitalo Conference or Workshop Item Item not available online. (19 September 2010)

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

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

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Effective Feature Construction by Maximum Common Subgraph Sampling Leander Schietgat, Fabrizio Costa, Jan Ramon and Luc De Raedt Article Item not available online. (July 2010)

Exact and Approximate Inference in Associative Hierarchical Random Fields using Graph-Cuts Chris Russell, Lubor Ladicky, Pushmeet Kohli and Philip Torr Conference or Workshop Item (July 2010)

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Visual and Semantic Similarity in ImageNet Thomas Deselaers and Vittorio Ferrari Conference or Workshop Item Item not available online. (17 June 2010)

OM-2: An Online Multi-class Multi-kernel Learning Algorithm Luo Jie, Francesco Orabona, Marco Fornoni, Barbara Caputo and Nicolò Cesa-Bianchi Conference or Workshop Item (13 June 2010)

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Bayesian Multi-Task Reinforcement Learning Alessandro Lazaric and Mohammad Ghavamzadeh Conference or Workshop Item (June 2010)

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Face Recognition Based on Image Sets Hakan Cevikalp and William Triggs Conference or Workshop Item (June 2010)

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

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Rollout Allocation Strategies for Classification-based Policy Iteration Victor Gabillon, Alessandro Lazaric and Mohammad Ghavamzadeh Conference or Workshop Item (June 2010)

Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer Tatiana Tommasi, Francesco Orabona and Barbara Caputo Conference or Workshop Item (June 2010)

Scene Segmentation with Low-dimensional Semantic Representations and Conditional Random Fields Wen Yang, William Triggs, Dengxin Dai and Gui-Song Xia Article Item availablity restricted. (June 2010)

Shape and refractive index recovery from single-view polarisation images Cong Phuoc Huynh, Antonio Robles-Kelly and Edwin Hancock Conference or Workshop Item Item not available online. (June 2010)

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Conference or Workshop Item (June 2010)

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Tracking the flu pandemic by monitoring the Social Web Vasileios Lampos and Nello Cristianini Conference or Workshop Item Item not available online. (June 2010)

Using machine learning on sensor data Alexandra Moraru, Marko Pesko, Maria Porcius, Carolina Fortuna and Dunja Mladenić Conference or Workshop Item Item not available online. (June 2010)

Using the Fisher-Rao Metric to Compute Facial Similarity Simone Ceolin and Edwin Hancock Conference or Workshop Item Item not available online. (June 2010)

What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes Daniel Kuettel, Michael Breitenstein, Luc Van Gool and Vittorio Ferrari Conference or Workshop Item (June 2010)

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Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo and Scott Sanner Conference or Workshop Item (13 May 2010)

A Bayesian framework to account for complex non-genetic factors in gene expression data greatly increases power in eQTL studies . Oliver Stegle, Leopold Parts, Richard Durbin and John Winn Article Item not available online. (May 2010)

A Game-Theoretic Procedure for Learning Hierarchically Structured Strategies Benjamin Rosman and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (May 2010)

Active sequential learning with tactile feedback Hannes Saal, Jo-Anne Ting and Sethu Vijayakumar Article Item not available online. (May 2010)

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Forecasting the electricity consumption by aggregation of specialized experts; application to Slovakian and French country-wide hourly predictions Marie Devaine, Yannig Goude and Gilles Stoltz Article (May 2010)

Geodesic trajectory generation on learnt skill manifolds Ioannis Havoutis and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (May 2010)

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Movement Templates for Learning of Hitting and Batting Jens Kober, Katharina Muelling, Oliver Kroemer, Christoph Lampert, Bernhard Schölkopf and Jan Peters Conference or Workshop Item Item availablity restricted. (May 2010)

Multiclass-Multilabel Classification with More Classes than Examples Ofer Dekel and Ohad Shamir Conference or Workshop Item (May 2010)

Nonlinear functional regression: a functional RKHS approach hachem kadri, emmanuel duflos, Philippe Preux, Stéphane Canu and manuel davy Conference or Workshop Item Item not available online. (May 2010)

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Unsupervised Aggregation for Classification Problems with Large Numbers of Categories Ivan Titov, Alexandre Klementiev, Kevin Small and Dan Roth Conference or Workshop Item Item not available online. (May 2010)

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Model-based method for transcription factor target identification with limited data Antti Honkela, Charles Girardot, E. Hilary Gustafson, Ya-Hsin Liu, Eileen E. M. Furlong, Neil Lawrence and Magnus Rattray Article (27 April 2010)

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Consistent Nonparametric Tests of Independence Arthur Gretton and Laszlo Gyorfi Article Item not available online. (April 2010)

Efficient Learning and Feature Selection in High-Dimensional Regression Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar and Stefan Schaal Article (April 2010)

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Optimal Feedback Control for Anthropomorphic Manipulators Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara and Sethu Vijayakumar Conference or Workshop Item Item availablity restricted. (April 2010)

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

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks Fernando Perez-Cruz and Sanjeev Kulkarni Article (April 2010)

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 Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping Péter Torma, Andras Gyorgy and Csaba Szepesvari Book Section Item not available online. (10 March 2010)

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

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

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

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams Albert Bifet Book Item not available online. (01 February 2010)

Active learning on trees and graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Monograph (February 2010)

Bayesian Gaussian Process Latent Variable Model Michalis Titsias and Neil Lawrence Conference or Workshop Item (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)

From machine learning to natural product derivatives selectively activating transcription factor PPAR-γ Matthias Rupp, Timon Schröter, Ramona Steri, Heiko Zettl, Ewgenij Proschak, Katja Hansen, Oliver Rau, Oliver Schwarz, Lutz Müller-Kuhrt, Manfred Schubert-Zsilavecz, Klaus-Robert Müller and Gisbert Schneider Article Item not available online. (February 2010)

Gaussian Processes and its Application to the design of Digital Communication Receivers Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz Book Section Item not available online. (February 2010)

Grammatical Inference and Natural Language Acquisition Leonor Becerra Book Section 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)

PIPCAC: A NOVEL BINARY CLASSIFIER ASSUMING MIXTURES OF GAUSSIAN FUNCTIONS A. Rozza, Gabriele Lombardi and E. Casiraghi Conference or Workshop Item Item not available online. (February 2010)

Robust Selective Sampling from Single and Multiple Teachers Ofer Dekel, Claudio Gentile and Karthik Sridharan Monograph Item availablity restricted. (February 2010)

Security Analysis of Online Centroid Anomaly Detection Marius Kloft and Pavel Laskov Article (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)

Sparse Causal Discovery in Multivariate Time Series Stefan Haufe, Klaus-Robert Müller, Guido Nolte and Nicole Krämer Article (February 2010)

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

Improving the Robustness of Phoneme Classification Using Hybrid Features Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (13 January 2010)

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

A comparison of pruning criteria for probability trees Daan Fierens, Jan Ramon, Hendrik Blockeel and Maurice Bruynooghe Article 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)

Apprentissage de distance pour l'annotation d'images par plus proches voisins Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek and Cordelia Schmid Conference or Workshop Item (January 2010)

Exploiting Similarity Information in Reinforcement Learning. Similarity Models for Multi-Armed Bandits and MDPs Ronald Ortner Book Section (January 2010)

Fast error estimation for efficient support vector machine growing Angel Navia-Vazquez and Roberto Diaz-Morales Article Item not available online. (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)

An experimental comparison of Hierarchical Bayes and True Path Rule ensembles for protein function prediction Matteo Re and Giorgio Valentini Book Section Item availablity restricted. (2010)

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

Hierarchical cost-sensitive algorithms for genome-wide gene function prediction Nicolò Cesa-Bianchi and Giorgio Valentini Article (2010)

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A flexible hybrid framework for modeling complex manipulation tasks Oliver Kroemer and Jan Peters Conference or Workshop Item Item not available online. (2010)

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection Silvia Pandolfi, Francesco Bartolucci and Nial Friel Article (2010)

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Adaptive Noisy Optimization Philippe Rolet and Olivier Teytaud Article (2010)

Adaptive Optimal Feedback Control with Learned Internal Dynamics Models Djordje Mitrovic, Sethu Vijayakumar and Stefan Klanke Book Section Item availablity restricted. (2010)

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

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

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An Introduction to Grammatical Inference for Linguists Leonor Becerra Article Item not available online. (2010)

An inverse power method for nonlinear eigenproblems with applications in 1-spectral clustering and sparse PCA Matthias Hein and Thomas Buehler Conference or Workshop Item (2010)

Analysis of SVM with Indefinite Kernels Yiming Ying, Colin Campbell and Mark Girolami Conference or Workshop Item Item not available online. (2010)

Approximate dynamic programming Rémi Munos Book Section (2010)

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

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

Archetypal Analysis for Machine Learning Morten Mørup and Lars Kai Hansen Article Item availablity restricted. (2010)

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

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)

Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis Philippe Rolet and Olivier Teytaud Article (2010)

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

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Bias-Variance Analysis of ECOC and Bagging Using Neural Nets Cemre Zor, Terry Windeatt and Berrin Yanikoglu Conference or Workshop Item Item not available online. (2010)

Causal discovery for linear cyclic models with latent variables Antti Hyttinen, Frederick Eberhardt and Patrik Hoyer Conference or Workshop Item Item not available online. (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 Ricardo Silva Book Section Item not available online. (2010)

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

Causation and Prediction Challenge Book (2010)

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

Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition Somayeh Danafar, Arthur Gretton and Juergen Schmidhuber Conference or Workshop Item Item not available online. (2010)

COFFIN: A Computational Framework for Linear SVMs Sören Sonnenburg and Vojtech Franc Conference or Workshop Item (2010)

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

Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms Eva Gómez-Ballester, Luisa Mico, Franck Thollard, Jose Oncina and Francisco Moreno-Seco Conference or Workshop Item Item not available online. (2010)

Combining experiments to discover linear cyclic models with latent variables Frederick Eberhardt, Patrik Hoyer and Richard Scheines Conference or Workshop Item Item not available online. (2010)

Combining Multiple Kernels by Augmenting the Kernel Matrix Fei Yan, Krystian Mikolajczyk, Josef Kittler and Muhammad Tahir Conference or Workshop Item Item not available online. (2010)

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

Comparative study of segmentation of periodic motion data for mobile gait analysis. Aris Valtazanos, Damal Arvind and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2010)

Composite Objective Mirror Descent John Duchi, Shai Shalev-Shwartz, Yoram Singer and Ambuj Tewari Conference or Workshop Item (2010)

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

Concave-Convex Adaptive Rejection Sampling Dilan Gorur and Yee Whye Teh Article Item not available online. (2010)

Constrained geodesic trajectory generation on learnt skill manifolds. Ioannis Havoutis and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2010)

Controlling humanoid robots in topology coordinates. E. Ho, T. Komura, Subramanian Ramamoorthy and Sethu Vijayakumar Conference or Workshop Item Item not available online. (2010)

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

Copula Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (2010)

DDAG K-TIPCAC: an ensemble method for protein subcellular localization Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi and Giorgio Valentini Conference or Workshop Item 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)

Deterministic Bayesian inference for the p* model Haakon Austad and Nial Friel Article (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)

Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2010)

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

Empirical Bernstein Inequalities for U-Statistics Thomas Peel, Sandrine Anthoine and Liva Ralaivola Conference or Workshop Item (2010)

Enhancing recognition of visual concepts with primitive color histograms via non-sparse multiple kernel learning Alexander Binder and Motoaki Kawanabe Book Section Item not available online. (2010)

Enhancing Visual Object Detection with Semantic Tagging Shiau Hong Lim and Peter Auer Monograph Item availablity restricted. (2010)

Error propagation for approximate policy and value iteration Amir Massoud Farahmand, Rémi Munos and Csaba Szepesvari Conference or Workshop Item (2010)

Estimation of a Structural Vector Autoregression model using non-Gaussianity Aapo Hyvärinen, Kun Zhang, Shohei Shimizu and Patrik Hoyer Article Item not available online. (2010)

Evaluating Query Result Significance in Databases via Randomizations Markus Ojala, Gemma Garriga, Aris Gionis and Heikki Mannila Conference or Workshop Item (2010)

Example-dependent Basis Vector Selection for Kernel-Based Classifiers Antti Ukkonen and Marta Arias Conference or Workshop Item (2010)

Exploitation of machine learning techniques in modelling phrase movements for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)

Exploiting Data-Independence for Fast Belief-Propagation Julian McAuley and Tiberio Caetano Article (2010)

Exploiting within-clique factorizations in junction-tree algorithms Julian McAuley and Tiberio Caetano Article (2010)

Exploration in Relational Worlds Tobias Lang, Marc Toussaint and Kristian Kersting Conference or Workshop Item (2010)

FastInf: An Efﬁcient Approximate Inference Library Ariel Jaimovich, Ofer Meshi, Ian McGraw and Gal Elidan Article (2010)

Finite-Sample Analysis of Bellman Residual Minimization Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric and Mohammad Ghavamzadeh Article (2010)

FLIP-ECOC: A Greedy Optimization of the ECOC Matrix Cemre Zor, Berrin Yanikoglu and Terry Windeatt Conference or Workshop Item Item not available online. (2010)

Functional Inference in FunCat through the Combination of Hierarchical Ensembles with Data Fusion Methods Nicolò Cesa-Bianchi, Matteo Re and Giorgio Valentini Conference or Workshop Item (2010)

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

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

Getting lost in space: Large sample analysis of the resistance distance, Ulrike von Luxburg, Agnes Radl and Matthias Hein Conference or Workshop Item Item not available online. (2010)

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

Grasping with vision descriptors and motor primitives Oliver Kroemer, Renaud Detry, Justus Piater and Jan Peters Conference or Workshop Item 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)

Identifying Cause and Effect on Discrete Data using Additive Noise Models Jonas Peters, Dominik Janzing and Bernhard Schölkopf Article Item not available online. (2010)

Inductive Querying with Virtual Mining Views Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado and Celine Robardet Book Section Item not available online. (2010)

Inference-less Density Estimation using Copula Bayesian Networks Gal Elidan Article (2010)

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

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

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference Marc Toussaint, Nils Plath, Tobias Lang and Nikolay Jetchev Conference or Workshop Item (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)

Iterative Learning of Simple External Contextual Languages Leonor Becerra, John Case, Sanjay Jain and Frank Stephan Article 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)

Joint Cascade Optimization Using a Product Of Boosted Classifiers Leonidas Lefakis and Francois Fleuret Conference or Workshop Item Item not available online. (2010)

Kernel regression for fMRI pattern prediction C Chu, Yizhao Ni, G Tan, Craig Saunders and J Ashburner Article (2010)

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

Learning an Expert from Human Annotations in Statistical MachineTranslation: the Case of Out-of-Vocabulary Words Wilker Aziz, Marc Dymetman, Shachar Mirkin, Lucia Specia, Nicola Cancedda and Ido Dagan Conference or Workshop Item Item not available online. (2010)

Learning and Inference in Queueing Networks Charles Sutton and Michael I Jordan Conference or Workshop Item (2010)

Learning Bayesian Network Structure using LP Relaxations Tommi Jaakkola, David Sontag, Amir Globerson and Marina Meila Conference or Workshop Item (2010)

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

Learning Kernel-Based Halfspaces with the Zero-One Loss Shai Shalev-Shwartz, Ohad Shamir and karthik sridharan Conference or Workshop Item (2010)

Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision Ayse Erkan, Oliver Kroemer, Renaud Detry, Yasemin Altun, Justus Piater and Jan Peters Conference or Workshop Item Item availablity restricted. (2010)

Learning Rules from Multisource Data for Cardiac Monitoring Elisa Fromont, René Quiniou and Marie-Odile Cordier Article Item not available online. (2010)

Learning state machine-based string edit kernels Aurélien Bellet, Marc Bernard and Marc Sebban Article Item not available online. (2010)

Learning the Preferences of News Readers with SVM and Lasso Ranking Elena Hensinger, Ilias Flaounas and Nello Cristianini Book Section (2010)

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

Learning the structure of deep sparse graphical models Ryan Adams, H Wallach and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2010)

Linguistic Phylogenetic Inference by PAM-like Matrices Nello Cristianini and antonella delmestri Article (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)

Lossless compression based on the Sequence Memoizer Jan Gasthaus, Frank Wood and Yee Whye Teh Book Section Item not available online. (2010)

Lp Norm Multiple Kernel Fisher Discriminant Analysis for Object and Image Categorisation Fei Yan, Krystian Mikolajczyk, Mark Barnard, Hongping Cai and Josef Kittler Conference or Workshop Item Item not available online. (2010)

LSTD with Random Projections Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard and Rémi Munos Article (2010)

Machine learning for intrusion detection: Modeling the distribution shift Bassam Farran, Craig Saunders and Mahesan Niranjan Conference or Workshop Item Item not available online. (2010)

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

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)

Measuring latent causal structure Ricardo Silva Book Section (2010)

Methods for Learning Control Policies from Variable Constraint Demonstrations Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar Book Section Item availablity restricted. (2010)

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

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

Modeling sparse connectivity between underlying brain sources for EEG/MEG Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller and Motoaki Kawanabe Article Item not available online. (2010)

Monte-Carlo Simulation Balancing in Practice Shih-Chieh Huang, Rémi Coulom and Shun-Shii Lin Conference or Workshop Item Item not available online. (2010)

More data means less inference: A pseudo-max approach to structured learning Ofer Meshi, David Sontag, Tommi Jaakkola and Amir Globerson Conference or Workshop Item (2010)

Motion synthesis through randomized exploration on submanifolds in configuration space. Ioannis Havoutis and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2010)

Multidisciplinary Optimisation in the Design of Future Space Launchers G. Collange, N. Delattre, N. Hansen, I. Quinquis and Marc Schoenauer Book Section Item not available online. (2010)

Multilabel Classiﬁcation of Drug-like Molecules via Max-Margin Conditional Random Fields Hongyu Su, Markus Heinonen and Juho Rousu Conference or Workshop Item Item not available online. (2010)

Multiple Kernel Learning and Feature Space Denoising Fei Yan, Josef Kittler and Krystian Mikolajczyk Conference or Workshop Item Item not available online. (2010)

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

NEURAL IMAGE RESTORATION FOR DECODING 1-D BARCODES USING COMMON CAMERA PHONES Alessandro Zamberletti, Ignazio Gallo, Moreno Carullo and Elisabetta Binaghi Conference or Workshop Item (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)

New Riemannian techniques for directional and tensorial image data Fan Zhang and Edwin Hancock Article Item not available online. (2010)

Non-parametric regression between general Riemannian manifolds Florian Steinke, Bernhard Schölkopf and Matthias Hein Article Item not available online. (2010)

Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling Zoubin Ghahramani and David Knowles Article (2010)

Nonparametric Hidden Markov Models Jurgen van Gael and Zoubin Ghahramani Book Section Item availablity restricted. (2010)

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

Nonparametric tree graphical models Le Song, Arthur Gretton and Carlos Guestrin Conference or Workshop Item Item not available online. (2010)

O-IPCAC and its Application to EEG Classification A ROzza, G Lombardi, M Rosa and E Casiraghi Conference or Workshop Item Item not available online. (2010)

On causal discovery from time series data using FCI Doris Entner and Patrik Hoyer Conference or Workshop Item 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 Integrating Data Mining into Business Processes Dennis Wegener and Stefan Rüping Conference or Workshop Item Item not available online. (2010)

On-line Independent Support Vector Machines Francesco Orabona, Claudio Castellini, Barbara Caputo, Luo Jie and Giulio Sandini Article (2010)

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

Online Learning in Adversarial Lipschitz Environments Odalric-Ambrym Maillard and Rémi Munos Article (2010)

Online learning in adversarial lipschitz environments Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (2010)

Online Learning of Noisy Data with Kernels Ohad Shamir, Nicolò Cesa-Bianchi and Shai Shalev-Shwartz Conference or Workshop Item (2010)

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

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

Open loop optimistic planning Sébastien Bubeck and Rémi Munos Conference or Workshop Item (2010)

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

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)

Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation David Windridge and Josef Kittler Article Item not available online. (2010)

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

PIPCAC: a novel binary classifier assuming mixtures of Gaussian functions Alessandro Rozza, Gabriele Lombardi and Elena Casiraghi Conference or Workshop Item Item not available online. (2010)

Planning with Noisy Probabilistic Relational Rules Tobias Lang and Marc Toussaint Article (2010)

Policy search for motor primitives in robotics Jens Kober and Jan Peters Article Item not available online. (2010)

Practical algorithms for motor primitive learning in robotics Jens Kober and Jan Peters Article Item availablity restricted. (2010)

Probabilistic backward and forward reasoning in stochastic relational worlds Tobias Lang and Marc Toussaint Conference or Workshop Item (2010)

Ranking of Gene Regulators through Differential Equations and Gaussian Processes Antti Honkela, Marta Milo, Matthew Holley, Magnus Rattray and Neil Lawrence Conference or Workshop Item Item availablity restricted. (2010)

Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and Edoardo Airoldi Article 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)

Reducing Label Complexity by Learning From Bags Sivan Sabato, Nathan Srebreo and Naftali Tishby Conference or Workshop Item (2010)

Regret Bounds for Gaussian Process Bandit Problems Steffen Grunewalder, Jean-Yves Audibert, Manfred Opper and John Shawe-Taylor Conference or Workshop Item Item not available online. (2010)

Reinforcement learning to adjust robot movements to new situations Jens Kober, Erhan Oztop and Jan Peters Conference or Workshop Item Item availablity restricted. (2010)

Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing Sarah Bridle, Sreekumar T. Balan, Matthias Bethge, Marc Gentile, Stefan Harmeling, Catherine Heymans, Michael Hirsch, Reshad Hosseini, Mike Jarvis, Donnacha Kirk, Thomas Kitching, Konrad Kuijken, Antony Lewis, Stephane Paulin-Henriksson, Bernhard Schölkopf, Malin Velander, Lisa Voigt, Dugan Witherick, Adam Amara, Gary Bernstein, Ferderic Courbin, Mandeep Gill, Alan Heavens, Rachel Mandelbaum, Richard Massey, Baback Moghaddam, Anais Rassat, Alexandre Refregier, Jason Rhodes, Tim Schrabback, John Shawe-Taylor, Marina Shmakova, Ludovic van Waerbeke and David Wittman Article Item not available online. (2010)

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

Risk bounds for transduction and semi-supervised learning relative to data structure Guy Lever Article Item not available online. (2010)

Scaling the iHMM: Parallelization versus Hadoop Sebastien Bratieres, Jurgen van Gael, Andreas Vlachos and Zoubin Ghahramani Conference or Workshop Item (2010)

Scaling the iHMM: Parallelization versus Hadoop Sebastien Bratieres, Andreas Vlachos, Jurgen van Gael and Zoubin Ghahramani Article Item not available online. (2010)

Scrambled objects for least-squares regression Odalric-Ambrym Maillard and Rémi Munos Conference or Workshop Item (2010)

Scrambled objects for least-squares regression Odalric-Ambrym Maillard and Rémi Munos Article (2010)

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

Semi-supervised novelty detection Gilles Blanchard, Gyemin Lee and Clayton Scott Article (2010)

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

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

Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction Matteo Re and Giorgio Valentini Article (2010)

Some Impossibility Results for Budgeted Learning Nicolò Cesa-Bianchi, Ohad Shamir and Shai Shalev-Shwartz Conference or Workshop Item (2010)

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

Spherical embeddings for non-Euclidean dissimilarities Richard Wilson, Edwin Hancock, Elzbieta Pekalska and Robert Duin Conference or Workshop Item Item not available online. (2010)

Structured Output Prediction of Anti-cancer Drug Activity Hongyu Su, Markus Heinonen and Juho Rousu Conference or Workshop Item Item not available online. (2010)

Supervised and Localized Dimensionality Reduction from Multiple Feature Representations or Kernels Mehmet Gönen and Ethem Alpaydın Conference or Workshop Item (2010)

Symbolic Dynamic Programming for First-order POMDPs Scott Sanner and Kristian Kersting Conference or Workshop Item (2010)

Telling cause from effect based on high-dimensional observations Dominik Janzing, Patrik Hoyer and Bernhard Schölkopf Conference or Workshop Item Item not available online. (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 application of structured learning in natural language processing Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan 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)

The Support Vector Tree Antti Ukkonen Book Section Item not available online. (2010)

Tight Sample Complexity of Large-Margin Learning Sivan Sabato, Nathan Srebro and Naftali Tishby Conference or Workshop Item (2010)

Time Management for Monte-Carlo Tree Search Applied to the Game of Go Shih-Chieh Huang, Rémi Coulom and Shun-Shii Lin Conference or Workshop Item Item not available online. (2010)

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

Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints Shai Shalev-Shwartz, Nati Srebro and Tong Zhang Article (2010)

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

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

True Path Rule hierarchical ensembles for genome-wide gene function prediction Giorgio Valentini Article Item availablity restricted. (2010)

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)

Wavelet Kernel Learning Florian Yger and Alain Rakotomamonjy Article Item not available online. (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)

\ell_p-\ell_q penalty for sparse linear and multiple kernel multi-task learning Alain Rakotomamonjy, Remi Flamary, Gilles Gasso and Stephane Canu Article Item not available online. (2010)

Total Least Squares Methods I Markovsky, D Sima and S Van Huffel Book Section (31 December 2009)

Title: Inferring Multiple Graphical Structures Julien Chiquet, Yves Grandvalet and Christophe Ambroise Article (22 December 2009)

A Diffusion Approach to Network Localization yaniv gur and Yosi Keller Article Item not available online. (18 December 2009)

Variational Inducing Kernels for Sparse Convolved Multiple Output Gaussian Processes Mauricio Alvarez, David Luengo-Garcia, Michalis Titsias and Neil Lawrence Monograph Item availablity restricted. (16 December 2009)

Boosting Classifiers Built from Different Subsets of Features Jean-Christophe Janodet, Marc Sebban and Henri-Maxime Suchier Article Item not available online. (15 December 2009)

Sequence Segmentation via Clustering of Subsequences Darío García-García, Emilio Parrado-Hernández and Fernando Díaz-de-María Conference or Workshop Item Item availablity restricted. (14 December 2009)

Learning Deep Neural Networks for High Dimensional Output Problems Benjamin Labbe, Romain Herault and Clement Chatelain Conference or Workshop Item Item not available online. (13 December 2009)

Adaptive Sequential Bayesian Change Point Detection Ryan Turner, Yunus Saatci and Carl Edward Rasmussen Conference or Workshop Item (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)

Model-Based Clustering and Segmentation of Sequences Darío García-García, Emilio Parrado-Hernández and Fernando Díaz-de-María Conference or Workshop Item Item availablity restricted. (12 December 2009)

System Identification in Gaussian Process Dynamical Systems Ryan Turner, Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (12 December 2009)

Author disambiguation: a nonparametric topic and co-authorship model Andrew Dai and Amos Storkey Conference or Workshop Item (11 December 2009)

Focused Topic Models Sinead Williamson, Chong Wang, Katherine Heller and David Blei Conference or Workshop Item Item not available online. (11 December 2009)

Hybrid model of Conditional Random Field and Support Vector Machine Qinfeng Shi, Mark Reid and Tiberio Caetano Conference or Workshop Item (11 December 2009)

Image Ranking with Eye Movements Kitsuchart Pasupa, Sandor Szedmak and David Hardoon Conference or Workshop Item Item not available online. (11 December 2009)

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

Scalable Hierarchical Multitask Learning in Sequence Biology Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (11 December 2009)

Using PCA for Probabilistic Grammatical Inference on Trees François Denis, Raphael Bailly, Edouard Gilbert and Amaury Habrard Conference or Workshop Item Item availablity restricted. (11 December 2009)

Geodesic trajectory generation on learnt skill manifolds Ioannis Havoutis and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (07 December 2009)

Latent Spaces for Dynamic Movement Primitives Sebastian Bitzer and Sethu Vijayakumar Conference or Workshop Item (07 December 2009)

A Gaussian Tree Approximation for Integer Least-Squares Jacob Goldberger and Amir Leshem Conference or Workshop Item (06 December 2009)

Asymptotically optimal regularization in smooth parametric models Percy Liang, Francis Bach, Guillaume Bouchard and Michael Jordan Conference or Workshop Item (06 December 2009)

Convex Non-Negative Matrix Factorization in the Wild Christian Thurau, Kristian Kersting and Christian Bauckhage Conference or Workshop Item Item not available online. (06 December 2009)

Convex Non-negative Matrix Factorization in the Wild Christian Thurau, Kristian Kersting and Christian Bauckhage Conference or Workshop Item Item not available online. (06 December 2009)

Distribution Matching for Transduction Novi Quadrianto, James Petterson and Alex Smola Conference or Workshop Item (06 December 2009)

Stacked Gaussian Process Learning Marion Neumann, Kristian Kersting, Zhao Xu and Daniel Schulz Conference or Workshop Item Item not available online. (06 December 2009)

Estimating Likelihoods for Topic Models Wray Buntine Conference or Workshop Item (03 December 2009)

Inducing Synchronous Grammars with Slice Sampling Phil Blunsom and Trevor Cohn Conference or Workshop Item Item not available online. (01 December 2009)

Inference and algorithms for sparse Bayesian factor analysis Magnus Rattray, Oliver Stegle, Kevin Sharp and John Winn Article (01 December 2009)

Portable compiler optimization across embedded programs and microarchitectures using machine learning. Christophe Dubach, Timothy M. Jones, Edwin Bonilla, Grigori Fursin and Michael F.P. O’Boyle Conference or Workshop Item (01 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 geometric proof of calibration Shie Mannor and Gilles Stoltz Article (December 2009)

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

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

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

Adaptive False Discovery Rate Control under Independence and Dependence Gilles Blanchard and Etienne Roquain Article (December 2009)

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

Algorithms and literate programs for weighted low-rank approximation with missing data I Markovsky Monograph Item not available online. (December 2009)