PASCAL - Subject: Learning/Statistics & Optimisation

Adaptive False Discovery Rate Control under Independence and Dependence Gilles Blanchard and Etienne Roquain Article (December 2010)

Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs Karteek Alahari, Pushmeet Kohli and Philip Torr Article (October 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)

Lattice-based Anomaly Rectification for Sport Video Annotation Aftab Khan, David Windridge, Teo de Campos, Josef Kittler and William Christmas Conference or Workshop Item (23 August 2010)

A Bayesian Review of the Poisson-Dirichlet Process Wray Buntine and Marcus Hutter Monograph (July 2010)

The Online Loop-free Stochastic Shortest-Path Problem Gergely Neu, Andras Gyorgy and Csaba Szepesvari Book Section Item not available online. (27 June 2010)

Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data Levente Kocsis and Andras Gyorgy Conference or Workshop Item Item not available online. (25 June 2010)

A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers and Vittorio Ferrari Conference or Workshop Item (21 June 2010)

Unified Graph Matching in Euclidean Spaces Julian McAuley, Teo de Campos and Tiberio Caetano Conference or Workshop Item Item not available online. (13 June 2010)

A Practical and Conceptual Framework for Learning in Control Marc Deisenroth and Carl Edward Rasmussen Monograph (01 June 2010)

Discrete minimum ratio curves and surfaces Fred Nicolls and Philip Torr Conference or Workshop Item (June 2010)

Efficient Additive Kernels via Explicit Feature Maps Andrea Vedaldi and Andrew Zisserman Conference or Workshop Item (June 2010)

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

Efficient Piecewise Learning for Conditional Random Fields Karteek Alahari, Chris Russell and Philip Torr Conference or Workshop Item (June 2010)

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake and Andrew Zisserman Conference or Workshop Item (June 2010)

Learning Efficiently with Approximate Inference via Dual Losses Ofer Meshi, David Sontag, Tommi Jaakkola and Amir Globerson Conference or Workshop Item (June 2010)

On the Detection of Multiple Object Instances using Hough Transforms Olga Barinova, Victor Lempitsky and Pushmeet Kohli Conference or Workshop Item (June 2010)

Online-Batch Strongly Convex Multi Kernel Learning Francesco Orabona, Luo Jie and Barbara Caputo Article (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)

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

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

Employing signed TV broadcasts for automated learning of British Sign Language Patrick Buehler, Mark Everingham and Andrew Zisserman Conference or Workshop Item (May 2010)

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

Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade, Ohad Shamir, Karthik Sridharan and Ambuj Tewari Conference or Workshop Item (May 2010)

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

An information-theoretic approach to finding informative noisy tiles in binary databases Kleanthis Kontonasios and Tijl De Bie Conference or Workshop Item Item not available online. (29 April 2010)

A generative model approach for decoding in the visual event-related potential-based brain--computer interface speller S.M.M. Martens and J.M. Leiva-Murillo Article (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)

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

Models of active learning in group-structured state spaces G Bartók, Csaba Szepesvari and S Zilles Article (April 2010)

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

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

A A high dimensional Wilks phenomenon. Stephane Boucheron and Pascal Massart Article (March 2010)

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

Learning Relevant Eye MovementFeature Spaces Across Users Zakria Hussain, Kitsuchart Pasupa and John Shawe-Taylor Conference or Workshop Item Item not available online. (March 2010)

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

OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues M. Pawan Kumar, Philip Torr and Andrew Zisserman Article (March 2010)

Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Miguel Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (19 February 2010)

Reaction kernels: structured output prediction approaches for novel enzyme function Katja Astikainen, Esa Pitkänen, Juho Rousu, Liisa Holm and Sandor Szedmak Conference or Workshop Item (19 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)

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)

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)

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)

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)

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)

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)

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)

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

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

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

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

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

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

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

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

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

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

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

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)

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

Multiple Kernel Learning and Feature Space Denoising Fei Yan, Josef Kittler and Krystian Mikolajczyk Conference or Workshop Item 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)

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

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

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)

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

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)

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)

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

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

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

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

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)

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)

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

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

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

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)

Convex relaxation of mixture regression with efficient algorithms Novi Quadrianto, Tiberio Caetano, John Lim and Dale Schuurmans Conference or Workshop Item (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)

Distribution matching for transduction Novi Quadrianto, James Petterson and Alex Smola Conference or Workshop Item (December 2009)

ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation Manuel Loth, Philippe Preux, Samuel Delepoulle and Christophe Renaud Conference or Workshop Item Item not available online. (December 2009)

Efficient Subwindow Search: A Branch and Bound Framework for Object Localization Christoph Lampert, Matthew Blaschko and Thomas Hofmann Article (December 2009)

Global Stereo Reconstruction under Second-Order Smoothness Priors Oliver Woodford, Philip Torr, Ian Reid and Andrew Fitzgibbon Article (December 2009)

Inter-domain Gaussian processes for sparse inference using inducing features Miguel Lazaro-Gredilla and Aníbal R. Figueiras-Vidal Conference or Workshop Item (December 2009)

Kernel bandwidth estimation for nonparametric modelling Adrian G Bors and Nikolaos Nasios Article (December 2009)

Kernel conditional quantile estimation via reduction revisited Novi Quadrianto, Kristian Kersting, Mark Reid, Tiberio Caetano and Wray Buntine Conference or Workshop Item Item availablity restricted. (December 2009)

Large Scale Non-parametric Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (December 2009)

Learning from Multiple Partially Observed Views -- an Application to Multilingual Text Categorization Massih Amini, Nicolas Usunier and Cyril Goutte Conference or Workshop Item (December 2009)

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

Modeling sparse connectivity between underlying brain sources for EEG/MEG Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller and Motoaki Kawanabe Article (December 2009)

Novel IPCA-Based Classifiers and Their Application to Spam Filtering A. Rozza, Gabriele Lombardi and E. Casiraghi Article Item not available online. (December 2009)

Recovering sparse signals with a certain family of non-convex penalties and DC programming Gilles Gasso, Alain Rakotomamonjy and Stéphane Canu Article (December 2009)

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

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

Structured Prediction by Joint Kernel Support Estimation Christoph Lampert and Matthew Blaschko Article (December 2009)

Tree based ensemble models regularization by convex optimization Bertrand Conrélusse, Pierre Geurts and Louis Wehenkel Conference or Workshop Item (December 2009)

Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation Luo Jie, Barbara Caputo and Vittorio Ferrari Conference or Workshop Item (December 2009)

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

Regularized Estimation of Large Scale Gene Association Networks using Gaussian Graphical Models Nicole Krämer, Juliane Schäfer and Anne-Laure Boulesteix Article Item not available online. (24 November 2009)

On codecell convexity of optimal multi-resolution scalar quantizers for continuous sources András Antos Article Item not available online. (23 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)

A probabilistic approach to spectral graph matching Yosi Keller and Amir Agozi Article Item not available online. (15 November 2009)

Fast visual hull and stereo matching on CUDA Mykyta Fastovets, Jean-Yves Guillemaut and Adrian Hilton Conference or Workshop Item (13 November 2009)

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

Infinite Factorization of Multiple Non-parametric Views Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami and Samuel Kaski Article Item not available online. (13 November 2009)

Statistical Challenges of High-dimensional Data Iain M. Johnstone and Mike Titterington Article (13 November 2009)

Max-margin structured output learning in L1 norm space Sandor Szedmak, Craig Saunders, Yizhao Ni and Juho Rousu Monograph (12 November 2009)

A Universal Machine Learning Optimization Framework For Arbitrary Outputs Sandor Szedmak and Zakria Hussain Monograph (11 November 2009)

A SPATIALLY AWARE GENERATIVE MODEL FOR IMAGE CLASSIFICATION, TOPIC DISCOVERY AND SEGMENTATION Iván Gonzalez-Diaz, Darío García-García and Fernando Díaz-de-María Conference or Workshop Item Item availablity restricted. (08 November 2009)

State-Space Inference and Learning with Gaussian Processes Ryan Turner, Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item Item availablity restricted. (05 November 2009)

Improving Adaptive Bagging Methods for Evolving Data Streams Albert Bifet, Geoff Holmes, Bernhard Pfahringer and Ricard Gavaldà Conference or Workshop Item Item not available online. (03 November 2009)

Learning Constrained Edit State Machines Laurent Boyer, Olivier Gandrillon, Amaury Habrard, Mathilde Pellerin and Marc Sebban Conference or Workshop Item Item not available online. (02 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)

A Statistical Approach to Material Classification Using Image Patch Exemplars Manik Varma and Andrew Zisserman Article (November 2009)

Active Learning for Network Intrusion Detection Nico Görnitz, Marius Kloft, Konrad Rieck and Ulf Brefeld Conference or Workshop Item (November 2009)

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation Arno Onken, Steffen Grunewalder, Matthias Munk and Klaus Obermayer Article Item not available online. (November 2009)

Bounded Kernel-Based Online Learning Francesco Orabona, Joseph Keshet and Barbara Caputo Article (November 2009)

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

Directed Coupling in Local Field Potentials of Macaque V4 during Visual Short-Term Memory revealed by Multivariate Autoregressive Models Gregor Hörzer, Stefanie Liebe, Alois Schlögl, Nikos K. Logothetis and Gregor Rainer Article Item not available online. (November 2009)

Hash Kernels for Structured Data Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola and S V N Vishwanathan Article (November 2009)

Hash Kernels for Structured Data, Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola and Vishy Vishwanathan Article (November 2009)

Kernel Partial Least Squares is Universally Consistent Gilles Blanchard and Nicole Krämer Conference or Workshop Item (November 2009)

Kernels and learning curves for Gaussian process regression on random graphs Peter Sollich, Matthew Urry and Camille Coti Conference or Workshop Item Item not available online. (November 2009)

Learning Large Margin Likelihood for Realtime Head Pose Tracking elisa ricci and Jean-Marc Odobez Conference or Workshop Item (November 2009)

Natural Actor-Critic Algorithms Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh and Mark Lee Article Item not available online. (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)

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

Effects of daily temperature and photosynthetic production on growth variation of Scots pine in northern Finland Pekka Nöjd, Mikko Korpela, Jaakko Hollmen, Harri Mäkinen, Mika Sulkava and Pertti Hari Conference or Workshop Item Item not available online. (01 October 2009)

Unified graph matching in Euclidean spaces and applications to image comparison and retrieval Julian McAuley and Teo de Campos Patent Item not available online. (01 October 2009)

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

Associative Hierarchical CRFs for Object Class Image Segmentation Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr Conference or Workshop Item (October 2009)

Consistent interpretation of image sequences to improve object models on the fly Johann Prankl, Martin Antenreiter, Peter Auer and Markus Vincze Book Section Item availablity restricted. (October 2009)

Dependencies between stimuli and spatially independent fMRI sources: towards brain correlates of natural stimuli Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário and Samuel Kaski Article 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)

Improving Text Categorization Bootstrapping via Unsupervised Learning Alfio Gliozzo, Carlo STRAPPARAVA and Ido Dagan Article Item not available online. (October 2009)

Natural Actor-Critic Algorithms Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh and Mark Lee Monograph Item not available online. (October 2009)

Nonparametric Bayesian drift estimation for one-dimensional diffusion processes Yvo Pokern, Omiros Papaspiliopoulos, Gareth Roberts and Andrew Stuart Article Item not available online. (October 2009)

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

Robust Constraint-consistent Learning Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar Conference or Workshop Item 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)

An information theoretic approach to finding interesting patterns in databases Kleanthis Kontonasios Thesis Item availablity restricted. (30 September 2009)

Overview and results of Morpho Challenge 2009 Mikko Kurimo, Sami Virpioja, Ville Turunen, Graeme Blackwood and William Byrne Conference or Workshop Item Item not available online. (30 September 2009)

Large Margin Classifiers Based on Convex Class Models Hakan Cevikalp and William Triggs Conference or Workshop Item Item not available online. (27 September 2009)

A multi-agent systems approach to distributed Bayesian information fusion Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan Nunnink and Thomas Hood Article Item not available online. (25 September 2009)

Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros and Fabio G. Cozman Conference or Workshop Item Item not available online. (18 September 2009)

Cost-sensitive learning based on Bregman divergences (ECML09 slides) Raúl Santos-Rodríguez and Jesus Cid-Sueiro Conference or Workshop Item (09 September 2009)

Deformation-aware Log-Linear Models Tobias Gass, Thomas Deselaers and Hermann Ney Conference or Workshop Item (09 September 2009)

Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics Matteo Re Article (08 September 2009)

Some mathematical refinements concerning error minimization in the genetic code Harry Buhrman, Peter T.S. van der Gulik, Steven M. Kelk, Wouter Koolen and Leen Stougie Article Item not available online. (08 September 2009)

Discovering Patterns in Flows: a Privacy Preserving Approach with the ACSM Prototype Stéphanie Jacquemont, François Jacquenet and Marc Sebban Conference or Workshop Item Item not available online. (07 September 2009)

Hierarchical Image-Region Labeling via Structured Learning Julian McAuley, Teofilo de Campos, Gabriela Csurka and Florent Perronin Conference or Workshop Item (07 September 2009)

Identifying Mathematical Models of the Mechanically Ventilated Lung Using Equation Discovery Steven Ganzert, Knut Moeller, Stefan Kramer, Kristian Kersting and Josef Guttmann Conference or Workshop Item Item not available online. (07 September 2009)

Learning Preferences with Hidden Common Cause Relations Kristian Kersting and Zhao Xu Conference or Workshop Item Item not available online. (07 September 2009)

Log-Linear Mixtures for Object Recognition Tobias Weyand, Thomas Deselaers and Hermann Ney 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)

Statistical relational learning for supervised gene regulatory network inference Céline Brouard, Julie Dubois, Christel Vrain, Marie-Anne Debily and Florence d'Alché-Buc Conference or Workshop Item Item not available online. (05 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)

Making Archetypal Analysis Practical Christian Bauckhage and Christian Thurau Conference or Workshop Item Item not available online. (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 3-D assisted generative model for facial texture super-resolution Pouria Mortazavian, Josef Kittler and William Christmas Conference or Workshop Item (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)

An Intelligent Agent that Autonomously Learns how to Translate Marco Turchi, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2009)

Bootstrapping Distributional Feature Vector Quality Maayan Geffet and Ido Dagan Article Item not available online. (September 2009)

Cost Sensitive Learning based on Bregman Divergences Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaiz-Rodríguez and Jesús Cid-Sueiro Article Item availablity restricted. (September 2009)

Efficient Discriminative Learning of Parts-based Models M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (September 2009)

Efficient Multi-Start Strategies for Local Search Algorithms Levente Kocsis and Andras Gyorgy 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)

General Motion Planning Methods for Self-Reconfiguration Planning Thomas Larkworthy, Gillian Hayes and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (September 2009)

Inference and Validation of Networks Ilias Flaounas, Marco Turchi, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2009)

Is that you? Metric learning approaches for face identification Matthieu Guillaumin, Jakob Verbeek and Cordelia Schmid Conference or Workshop Item (September 2009)

Learning Preferences with Hidden Common Cause Relations Kristian Kersting and Zhao Xu Conference or Workshop Item Item not available online. (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)

Multiple Kernels for Object Detection Andrea Vedaldi, Varun Gulshan, Manik Varma and Andrew Zisserman Conference or Workshop Item (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)

P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions Pushmeet Kohli, M. Pawan Kumar and Philip Torr Article (September 2009)

Project Exhibition: AntiPhish - Machine Learning for Phishing Detection Gerhard Paaß and Andre Bergholz Conference or Workshop Item Item not available online. (September 2009)

Pyramides de noyaux Marie Szafranski and Yves Grandvalet Conference or Workshop Item Item not available online. (September 2009)

Subtitle-free Movie to Script Alignment Pramod Sankar K, C. V. Jawahar and Andrew Zisserman Conference or Workshop Item (September 2009)

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek and Cordelia Schmid Conference or Workshop Item (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)

Tuning Support Vector Machines for Robust Phoneme Classification with Acoustic Waveforms Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (September 2009)

A Bayesian regression approach to terrain mapping and an application to legged robot locomotion Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy and Wolfram Burgard Article Item not available online. (31 August 2009)

Feature extraction and selection from vibration measurements for structural health monitoring Janne Toivola and Jaakko Hollmen Article Item availablity restricted. (31 August 2009)

Adaptive XML Tree Classification on Evolving Data Streams Albert Bifet and Ricard Gavaldà Conference or Workshop Item Item not available online. (28 August 2009)

Efficient Multi-start Strategies for Local Search Algorithms Levente Kocsis and Andras Gyorgy Book Section Item not available online. (28 August 2009)

Kernel Polytope Face Pursuit Tom Diethe and Zakria Hussain Conference or Workshop Item Item not available online. (28 August 2009)

Adaptive Learning from Evolving Data Streams. Albert Bifet and Ricard Gavaldà Conference or Workshop Item Item not available online. (27 August 2009)

Consistent hierarchical labeling of image and image regions Julian McAuley, Teo de Campos, Gabriela Csurka and Florent Perronin Patent Item not available online. (25 August 2009)

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity Katja Hansen, Sebastian Mika, Timon Schröter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich and Klaus-Robert Müller Article Item availablity restricted. (24 August 2009)

Regularized Fitted Q-iteration for Planning in Continuous-Space Markovian Decision Problems Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvari and Shie Mannor Book Section (13 August 2009)

A Four-Gene Expression Signature for Prostate Cancer Cells Consisting of UAP1, PDLIM5, IMPDH2, and HSPD1 Isabelle Guyon, Herb Fritsche, Paul Choppa, Li-Ying Yang and Stephen Barnhill Article (06 August 2009)

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

Sparse Multiview Methods for Classification of Musical Genre from Magnetoencephalography Recordings Tom Diethe, Gabi Teodoru, Nick Furl and John Shawe-Taylor Article (03 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 Gibbs Sampler for Phrasal Synchronous Grammar Induction Phil Blunsom, Trevor Cohn, Miles Osborne and Chris Dyer Conference or Workshop Item (August 2009)

A Note on the Implementation of Hierarchical Dirichlet Processes Phil Blunsom, Trevor Cohn, Sharon Goldwater and Mark Johnson Conference or Workshop Item (August 2009)

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

Complexity Based Phrase-Table Filtering for Statistical Machine Translation Nadi Tomeh, Nicola Cancedda and Marc Dymetman Article Item not available online. (August 2009)

Composite Kernel Learning Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy Article Item not available online. (August 2009)

CycSim - an online genome-scale metabolic model simulator and browser, integrated with pathways databases François Le Fèvre, Serge Smidtas, Cyril Combe, Maxime Durot, Florence d'Alché-Buc and Vincent Schächter Article Item not available online. (August 2009)

Handling phrase reorderings for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Conference or Workshop Item (August 2009)

Nonparametric sequential prediction of time series K Bleakley, G Biau, Laszlo Gyorfi and Gyorgy Ottucsak Article Item availablity restricted. (August 2009)

Optimizing Textual Entailment Recognition Using Particle Swarm Optimization Yashar Mehdad and Bernardo Magnini Conference or Workshop Item (August 2009)

Probabilistic Non-negative Tensor Factorisation using Markov Chain Monte Carlo Mikkel Schmidt and Shakir Mohamed Conference or Workshop Item (August 2009)

A novel method for learning policies from variable constraint data Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar Article Item availablity restricted. (30 July 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)

Mining frequent closed rooted trees José Balcázar, Albert Bifet and Antoni Lozano Article Item not available online. (24 July 2009)

Stochastic language models for music information retrieval Carlos Pérez-Sancho Thesis (20 July 2009)

Bayesian Real-time Dynamic Programming Scott Sanner, Robby Goetschalckx, Kurt Driessens and Guy Shani Conference or Workshop Item Item not available online. (11 July 2009)

Generalized First Order Decision Diagrams for First Order Markov Decision Processes Saket Joshi, Kristian Kersting and Roni Khardon Conference or Workshop Item Item not available online. (11 July 2009)

Multi-Relational Learning with Gaussian Processes Zhao Xu, Kristian Kersting and Volker tresp Conference or Workshop Item Item not available online. (11 July 2009)

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

Resistive geometry for graph-based transduction Mark Herbster Conference or Workshop Item (04 July 2009)

Adaptive XML Tree Mining on Evolving Data Streams Albert Bifet and Ricard Gavaldà Conference or Workshop Item (02 July 2009)

Classification on Graphs for Dynamic Difficulty Adjustment: More Questions Than Answers Olana Missura and Thomas Gaertner Conference or Workshop Item (02 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)

ILP, the Blind, and the Elephant: Euclidean Embedding of Co-Proven Queries Hannes Schulz, Kristian Kersting and Andreas Karwath Conference or Workshop Item Item not available online. (02 July 2009)

A Multi-Class Support Vector Machine Based on Scatter Criteria Robert Jenssen, Marius Kloft, Alexander Zien, Sören Sonnenburg and Klaus-Robert Müller Other Item not available online. (01 July 2009)

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

Method of verifying declared identity in optical answer sheets Joseph Levi, Yosef Solewicz, Yael Dvir and Yisca Steinberg Article Item not available online. (July 2009)

Multi-Relational Learning with Gaussian Processes Zhao Xu, Kristian Kersting and Volker Tresp Conference or Workshop Item Item not available online. (July 2009)

Multi-strategy trading utilizing market regimes Hynek Mlnarik, Subramanian Ramamoorthy and Rahul Savani Conference or Workshop Item (July 2009)

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

Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem mikhail zaslavskiy, Marc Dymetman and Nicola Cancedda Article Item not available online. (July 2009)

Relevance and Redundancy Analysis for Ensemble Classifiers R Duangsoithong and Terry Windeatt Conference or Workshop Item (July 2009)

Self-Adaptive Utility-Based Web Session Management. Nicolas Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà and Jordi Torres Article Item not available online. (July 2009)

A simple iterative algorithm for parsimonious binary kernel Fisher discrimination Robert F. Harrison and Kitsuchart Pasupa Article Item not available online. (30 June 2009)

Analyzing the U.S. Senate in 2003: Similarities, Clusters, and Blocs Aleks Jakulin, Wray Buntine, Timothy La Pira and Holly Brasher Article (30 June 2009)

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

AntiPhish: Lessons Learnt Andre Bergholz Conference or Workshop Item Item not available online. (28 June 2009)

Causality Workbench Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov Book Section (28 June 2009)

Hierarchical Hybrid Reinforcement Learning Algorithms Mohammad Ghavamzadeh Conference or Workshop Item Item not available online. (28 June 2009)

New ensemble methods for evolving data streams Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Richard Kirkby and Ricard Gavaldà Conference or Workshop Item Item not available online. (28 June 2009)

Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cecile Germain and Michele Sebag Conference or Workshop Item (28 June 2009)

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

Unsupervised decomposition of words for speech recognition and retrieval Mikko Kurimo, Teemu Hirsimäki, Ville Turunen, Sami Virpioja and Niklas Raatikainen Conference or Workshop Item Item availablity restricted. (24 June 2009)

Predicting the Labelling of a Graph via Minimum p-Seminorm Interpolation Mark Herbster and Guy Lever Conference or Workshop Item (19 June 2009)

The Entire Quantile Path of a Risk-Agnostic SVM Classifier Jin Yu, Vishwanathan S.V.N. and Jian Zhang Article (19 June 2009)

Counting Belief Propagation Kristian Kersting, Babak Ahmadi and Sriraam Natarajan Conference or Workshop Item Item not available online. (18 June 2009)

An Efficient Projection for L1,Infinity Regularization Ariadna Quattoni, Xavier Carreras, Michael Collins and Trevor Darrell Conference or Workshop Item (14 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)

Natural Image Statistics: A probabilistic approach to early computational vision Aapo Hyvärinen, Jarmo Hurri and Patrik Hoyer Book Item not available online. (04 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)

Morpho Challenge - evaluation of algorithms for unsupervised learning of morphology in various tasks and languages Mikko Kurimo, Sami Virpioja, Ville Turunen and Teemu Hirsimäki Conference or Workshop Item Item availablity restricted. (01 June 2009)

Score Fusion by Maximizing the Area Under the ROC Curve M. Villegas and Roberto Paredes Conference or Workshop Item Item not available online. (June 2009)

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

A stochastic memoizer for sequence data Frank Wood, Cedric Archambeau, Jan Gasthaus and Yee Whye Teh Book Section (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)

Approximate Bayesian methods for kernel-based object tracking Zoran Zivkovic, Ali Taylan Cemgil and Ben Kröse Article Item not available online. (June 2009)

Bayesian Actor Critic: A Bayesian Model for Value Function Approximation and Policy Learning Mohammad Ghavamzadeh and Yaakov Engel Conference or Workshop Item Item not available online. (June 2009)

Bayesian inference for Plackett-Luce ranking model John Guiver and Ed Snelson Conference or Workshop Item (June 2009)

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

Convergent message passing algorithms - a unifying view Talya Meltzer, Amir Globerson and Yair Weiss Article (June 2009)

Convexifying the Bethe Free Energy Ofer Meshi, Ariel Jaimovich, Amir Globerson and Nir Friedman Article (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)

Fast and optimal prediction of a labeled tree Nicolò Cesa-Bianchi, Claudio Gentile and Fabio Vitale Conference or Workshop Item (June 2009)

Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass Conference or Workshop Item 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)

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

Identifying confounders using aditive noise models Dominik / DJ Janzing, Jonas / JP Peters, Joris / JM Mooij and Bernhard / BS Schoelkopf Conference or Workshop Item (June 2009)

Improved Uniformity Enforcement in Stochastic Discrimination, 8th Int. Workshop Multiple Classifier Systems, Iceland, June 2009, Lecture notes in computer science, M Prior and Terry Windeatt Conference or Workshop Item (June 2009)

Incorporating Prior Knowledge into a Transductive Ranking Algorithm for Multi-Document Summarization Massih Amini and Nicolas Usunier Conference or Workshop Item (June 2009)

Inducing Compact but Accurate Tree-Substitution Grammars Trevor Cohn, Sharon Goldwater and Phil Blunsom Conference or Workshop Item (June 2009)

Inducing Compact but Accurate Tree-Substitution Grammars Trevor Cohn, Phil Blunsom and Sharon Goldwater Conference or Workshop Item (June 2009)

Learning graph matching Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le and Alex Smola Article (June 2009)

Learning sign language by watching TV (using weakly aligned subtitles) Patrick Buehler, Mark Everingham and Andrew Zisserman Conference or Workshop Item (June 2009)

Monte Carlo Inference and Maximization for Phrase-based Translation Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez and Philipp Koehn Conference or Workshop Item (June 2009)

Multiple Indefinite Kernel Learning with Mixed Norm Regularization Matthieu Kowalski, Marie Szafranski and Liva Ralaivola Conference or Workshop Item (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)

Regularization in Reinforcement Learning Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvari and Shie Mannor Conference or Workshop Item Item not available online. (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)

Robot Learning with Regularized Reinforcement Learning Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvari and Shie Mannor Conference or Workshop Item Item not available online. (June 2009)

Robust Bounds for Classification via Selective Sampling Nicolò Cesa-Bianchi, Claudio Gentile and Francesco Orabona Conference or Workshop Item (June 2009)

Robust bounds for classification via selective sampling Nicolò Cesa-Bianchi, Claudio Gentile and Francesco Orabona Conference or Workshop Item Item not available online. (June 2009)

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

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)

Text clustering with mixture of von Mises-Fisher distributions A, Banerjee, I. S. Dhillon, J. Ghosh and Suvrit Sra Book Section Item not available online. (June 2009)

The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles. RS Smith and Terry Windeatt Conference or Workshop Item Item not available online. (June 2009)

Upper Facial Action Unit Recognition Cemre Zor and Terry Windeatt Conference or Workshop Item Item not available online. (June 2009)

G-StrAP: A 2-level Real-time Grid Monitoring System Xiangliang Zhang, Cyril Furtlehner, Cecile Germain and Michele Sebag Conference or Workshop Item Item not available online. (25 May 2009)

BiasCorrection of Regression Models: A Case Study on hERG Inhibition Katja Hansen, Fabian Rathke, Timon Schröter, Georg Rast, Thomas Fox, Jan M. Kriegl and Sebastian Mika Article Item not available online. (12 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)

Constraint-based subspace clustering Elisa Fromont, Céline Robardet and Adriana Prado Conference or Workshop Item (May 2009)

Large-SNR Error Probability Analysis of BICM with Uniform Interleaving in Fading Channels Alfonso Martinez and A. Guillén i Fàbregas Article Item not available online. (May 2009)

Model adaptation with least-squares SVM for adaptive hand prosthetics Francesco Orabona, Claudio Castellini, Barbara Caputo, Emanuele Fiorilla and Giulio Sandini Conference or Workshop Item (May 2009)

Robust Higher Order Potentials for Enforcing Label Consistency Pushmeet Kohli, Lubor Ladicky and Philip Torr Article (May 2009)

Tracking experts that learn by evolving past posteriors Wouter Koolen and Tim Erven, van Article Item not available online. (May 2009)

Using a spatio-temporal reasoning system to improve object models on the fly Martin Antenreiter, Johann Prankl, Markus Vincze and Peter Auer Book Section 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)

Adaptive Learning and Mining for Data Streams and Frequent Patterns Albert Bifet Thesis Item not available online. (24 April 2009)

A self--training method for learning to rank with unlabeled data Vinh Truong, Massih Amini and Patrick Gallinari Conference or Workshop Item (22 April 2009)

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

A kernel method for unsupervised network inference Christoph Lippert, Oliver Stegle, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item Item not available online. (16 April 2009)

Hash Kernels Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, Alex Strehl and Vishy Vishwanathan Conference or Workshop Item Item not available online. (14 April 2009)

Hash Kernels Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, Alex Strehl and S V N Vishwanathan Conference or Workshop Item (14 April 2009)

Audio-Visual Group Recognition using Diffusion Maps Yosi Keller, stephane lafon, ronald coifman and steven zucker Article Item not available online. (04 April 2009)

Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach Jonathan D. Clayden, Amos Storkey, Susanna Munoz Maniega and Mark E. Bastin Article Item not available online. (01 April 2009)

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data Ke Zhang, Marcus Hutter and Warren Jin Conference or Workshop Item (April 2009)

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

Infinite hierarchical hidden Markov models Katherine Heller, Yee Whye Teh and Dilan Gorur Conference or Workshop Item Item not available online. (April 2009)

l1 regularization path for functional features Manuel Loth and Philippe Preux Conference or Workshop Item Item not available online. (April 2009)

Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression Nicole Krämer, Masashi Sugiyama and Mikio braun Conference or Workshop Item (April 2009)

Large-Margin Structured Prediction via Linear Programming Zhuoran Wang and John Shawe-Taylor Conference or Workshop Item (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)

Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance Alberto Piatti, Marco Zaffalon, Fabio Trojani and Marcus Hutter Article (April 2009)

Machine Learning with Labeled and Unlabeled Data Tijl De Bie, Thiago Turchetti Maia and Antonio Braga Conference or Workshop Item Item not available online. (April 2009)

Nonparametric mixtures of factor analyzers Dilan Gorur and Carl Edward Rasmussen Conference or Workshop Item Item not available online. (April 2009)

Novelty detection: Unlabeled data definitely help Clayton Scott and Gilles Blanchard Conference or Workshop Item (April 2009)

Online Blind Deconvolution for Astronomy Stefan Harmeling, Suvrit Sra, M. Hirsch and Bernhard Schölkopf Conference or Workshop Item 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)

Scalable Semidefinite Programming using Convex Perturbations B. Kulis, Suvrit Sra and I. S. Dhillon Conference or Workshop Item Item not available online. (April 2009)

Sparsity in Adaptive Control Philippe Preux and Sertan Girgin Conference or Workshop Item Item not available online. (April 2009)

SVM Multi-Task Learning and Non convex Sparsity Measure Remi Flamary, Alain Rakotomamonjy, Gilles Gasso and Stéphane Canu Conference or Workshop Item Item not available online. (April 2009)

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

Variational Learning of Inducing Variables in Sparse Gaussian Processes Michalis Titsias Conference or Workshop Item (April 2009)

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)

Stability of Learning Dynamics in Two-Agent, Imperfect-Information Games John M. Butterworth and Jonathan L. Shapiro Conference or Workshop Item Item availablity restricted. (18 March 2009)

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)

Efficient high order matching Yosi Keller and Michael Chertok Article Item not available online. (16 March 2009)

Estimating Markov Random Field Potentials for Natural Images Urs Köster, Jussi T. Lindgren and Aapo Hyvärinen Conference or Workshop Item Item availablity restricted. (15 March 2009)

Learning Natural Image Structure with a Horizonal Product Model Urs Köster, Jussi T. Lindgren, Michael Gutmann and Aapo Hyvärinen Conference or Workshop Item Item availablity restricted. (15 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)

Ensemble Learning Gavin Brown Book Section (01 March 2009)

Morpho Challenge evaluation by information retrieval Mikko Kurimo, Mathias Creutz and Matti Varjokallio Book Section Item not available online. (01 March 2009)

Overview of Morpho Challenge 2008 Mikko Kurimo, Ville Turunen and Matti Varjokallio Book Section Item not available online. (01 March 2009)

A Deep Learning Approach to Machine Transliteration Thomas Deselaers, Sasa Hasan, Oliver Bender and Hermann Ney Conference or Workshop Item (March 2009)

A new approach to collaborative filtering: operator estimation with spectral regularization Jacob Abernethy, Francis Bach, Theodoros Evgeniou and Jean-Philippe Vert Article (March 2009)

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

Factored Sequence Kernels Nicola Cancedda and Pierre Mahé Article Item not available online. (March 2009)

Feature Discovery in Approximate Dynamic Programming Philippe Preux, Sertan Girgin and Manuel Loth Conference or Workshop Item Item not available online. (March 2009)

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

Nieme: Large-Scale Energy-Based Models francis maes Article (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)

Mathematical Modelling of Enzymatic Reactions: Simulation and Parameter Estimation by Genetic Algorithm Sureyya Ozogur Book Item not available online. (26 February 2009)

Custom-Designed SVM Kernels for Improved Robustness of Phoneme Classification Jibran Yousafzai, Zoran Cvetkovic and Peter Sollich Article (23 February 2009)

Robust Phoneme Classification: Exploiting The Adaptability of Acoustic Waveform Models Matthew Ager, Zoran Cvetkovic and Peter Sollich Article (23 February 2009)

Active learning with heteroscedastic noise András Antos, Varun Grover and Csaba Szepesvari Article Item not available online. (20 February 2009)

Improving Shape retrieval by Spectral Matching and Meta Similarity Yosi Keller and Amir Agozi Article Item not available online. (15 February 2009)

Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh and Michael Jordan Book Section Item not available online. (14 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)

Sparse regression learning by aggregation and Langevin Monte-Carlo A. Dalalyan and A.B. Tsybakov Article Item not available online. (12 February 2009)

Joint Source-Channel Coding with Concatenated LDPC Codes M Fresia, Fernando Perez-Cruz, V Poor and S Verdu Conference or Workshop Item Item not available online. (10 February 2009)

Estimating sparse models from multivariate discrete data via transformed Lasso Teemu Roos and Bin Yu Conference or Workshop Item (08 February 2009)

A Simple Alternative Derivation of the Expectation Correction Algorithm David Barber and Bertrand Mesot Article (February 2009)

A Statistical Machine Translation Primer Nicola Cancedda, Marc Dymetman, Cyril Goutte and George Foster Book Section Item not available online. (February 2009)

Automatically Profiling the Author of an Anonymous Text Shlomo Argamon, Moshe Koppel, James Pennebaker and Jonathan Schler Article Item not available online. (February 2009)

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

Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns. Matteo Re and Giulio Pavesi Article (February 2009)

Fast multi-class image annotation with random windows and multiple output randomized trees Marie Dumont, Raphaël Marée, Louis Wehenkel and Pierre Geurts Article (February 2009)

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

Fitted Q-iteration by Advantage Weighted Regression Gerhard Neumann and Jan Peters Conference or Workshop Item Item not available online. (February 2009)

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

Kernel-based machine translation Zhuoran Wang and John Shawe-Taylor Book Section Item not available online. (February 2009)

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

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Benjamin Schrauwen, Lars Büsing and Robert Legenstein Conference or Workshop Item Item not available online. (February 2009)

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

Recent Advances in Reinforcement Learning Book Item not available online. (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)

Radius-margin bound on the leave-one-out error of a M-SVM Yann Guermeur and Emmanuel Monfrini Monograph (26 January 2009)

Fast Prediction on a Tree Mark Herbster, Massimiliano Pontil and Sergio Rojas Conference or Workshop Item (21 January 2009)

Spades and mixture models F. Bunea, A.B. Tsybakov and M.H. Wegkamp Article (11 January 2009)

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

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs Mudigonda Pawan Kumar, V. Kolmogorov and Philip Torr Article (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)

Entropy - New Editor-in-Chief and Outlook Peter Harremoes Article (January 2009)

Large Margin Methods for Part of Speech Tagging Yasemin Altun Book Section (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)

Multi-task Gaussian process learning of robot inverse dynamics Kian Ming Chai, Christopher Williams, Stefan Klanke and Sethu Vijayakumar Conference or Workshop Item (January 2009)

Nonparametric nearest-neighbor-based sequential investment strategies Laszlo Gyorfi, Frederic Udina and Harro Walk Article Item not available online. (January 2009)

Online Regret Bounds for Markov Decision Processes with Deterministic Transitions Ronald Ortner Article Item not available online. (January 2009)

Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions Omid David-Tabibi, Moshe Koppel, Nathan Netanyahu and HJ van den Herik 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)

Exploring the link between bolstered classification error and dataset complexity for gene expression based cancer classification Oleg Okun, Giorgio Valentini and H. Priisalu Book Section (2009)

New perspectives in computational intelligence: nothing so intelligent as randomness, nothing so effective as asymmetry bruno apolloni and simone bassis Article Item not available online. (2009)

On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution Strategies Olivier Teytaud and fabien teytaud Conference or Workshop Item (2009)

Prediction of gene function using ensembles of SVMs and heterogeneous data sources Matteo Re and Giorgio Valentini Book Section (2009)

The role of predation by harp seals (Phoca groenlandica) in the collapse and non-recovery of northen Gulf of St. Lawrence cod (Gadus morhua) Emmanuel Chassot, Daniel Duplisea, Mike Hammill, Andrea Caskenette, Nicolas Bousquet, Yvan Lambert and Gary Stenson Article Item not available online. (2009)

A Comparison of L1 Norm and L2 Norm Multiple Kernel SVMs in Image and Video Classification Fei Yan, Krystian Mikolajczyk, Josef Kittler and Muhammad Tahir Conference or Workshop Item Item not available online. (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 Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation Richard S. Sutton, Csaba Szepesvari and Hamid R. Maei Conference or Workshop Item (2009)

A differential geometric approach to discrete-coefficient filter design Subramanian Ramamoorthy, L. Wenzel, J. Nagle, B. Wang and M. Cerna Conference or Workshop Item (2009)

A dynamical-system analysis of the optimum $s$-gradient algorithm L Pronzato, Henry Wynn and A Zhigljavsky Book Section 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 generative model for graph matching and embedding Bai Xiao, Richard Wilson and Edwin Hancock Article Item not available online. (2009)

A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation Frank Wood and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)

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 Novel Method for Learning Policies from Constrained Motion Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar Conference or Workshop Item Item availablity restricted. (2009)

A path following algorithm for the graph matching problem mikhail zaslavskiy, Francis Bach and Jean-Philippe Vert Article Item not available online. (2009)

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies Yann Guermeur and E. Monfrini Article Item availablity restricted. (2009)

A signal theory approach to support vector classification: The sinc kernel J. D. B. Nelson, Bob Damper, Steve Gunn and B. Guo Article Item not available online. (2009)

A Statistical Learning Perspective of Genetic Programming Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly, Marc Schoenauer and Olivier Teytaud Book Section (2009)

A Statistical Learning Perspective of Genetic Programming Olivier Teytaud, Christian Gagné, Marc Schoenauer, Sylvain Gelly, Nicolas Bredeche and Nur Merve Amil Conference or Workshop Item (2009)

A Stochastic Memoizer for Sequence Data Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh Conference or Workshop Item (2009)

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning Massih Amini, François Laviolette and Nicolas Usunier Conference or Workshop Item (2009)

Accelerated Gibbs Sampling for the Indian Buffet Process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Active Structured Learning for High-Speed Object Detection Christoph Lampert and Jan Peters Conference or Workshop Item (2009)

Adaptivity in Entity Subscription Services George Giannakopoulos and Themis Palpanas Conference or Workshop Item (2009)

Algorithms for Multiple Basis Pursuit Denoising Alain Rakotomamonjy Conference or Workshop Item Item not available online. (2009)

An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering Dilan Gorur and Yee Whye Teh Conference or Workshop Item Item not available online. (2009)

An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis G. Schweikert, C. Widmer, B. Schölkopf and G. Rätsch Conference or Workshop Item (2009)

An experimental analysis of the impact of accuracy degradation in SVM classification Dario Malchiodi Article Item not available online. (2009)

An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction S. Harmeling, S. Sra, M. Hirsch and B. Schölkopf Monograph (2009)

An introduction to kernel learning algorithms P.V. Gehler and B. Schölkopf Book Section Item not available online. (2009)

An LP View of the M-best MAP problem Menachem Fromer and Amir Globerson Article (2009)

Analysis of Adaptive Operator Selection Techniques on the Royal Road and Long K-Path Problems Alvaro Fialho, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2009)

Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror and David Vogel Article (2009)

Approximate inference for planning in stochastic relational worlds Tobias Lang and Marc Toussaint Conference or Workshop Item Item not available online. (2009)

Approximate inference for stochastic reaction processes. Andreas Ruttor, Guido Sanguinetti and Manfred Opper Book Section (2009)

Approximate low-rank factorization with structured factors I Markovsky and M Niranjan Article (2009)

Archipelago: Nonparametric Bayesian Semi-Supervised Learning Ryan Adams and Zoubin Ghahramani Article (2009)

Assigning Automatic Regularization Parameters in Image Restoration Ignazio Gallo and Elisabetta Binaghi Conference or Workshop Item (2009)

Augmenting Feature-driven fMRI Analyses: Semi-supervised Learning and Resting State Activity Matthew Blaschko, Jacquelyn Shelton and Andreas Bartels Conference or Workshop Item (2009)

Automatic Choice of Control Measurements Gayle Leen, David Hardoon and Samuel Kaski Conference or Workshop Item (2009)

Automatic choice of control measurements Gayle Leen, David Hardoon and Samuel Kaski Conference or Workshop Item (2009)

Automatic Exploration of Datacenter Performance Regimes Peter Bodik, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan and David A. Patterson Conference or Workshop Item (2009)

Automatic feature selection for model-based reinforcement Learning in factored MDPs Mark Kroon and Shimon Whiteson 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)

Bayes nets of time series: stochastic realizations and projections Henry Wynn, P.E. Caines and R. Deardon Book Section Item not available online. (2009)

Bayesian Experimental Design of Magnetic Resonance Imaging Sequences M.W. Seeger, H. Nickisch, R. Pohmann and B. Schölkopf Conference or Workshop Item (2009)

Bayesian Exponential Family PCA Shakir Mohamed, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)

Bayesian Methods for Autonomous Learning Systems Jo-Anne Ting Thesis (2009)

Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar Article Item availablity restricted. (2009)

Belief propagation and locally Bayesian learning Adam Sanborn and Ricardo Silva Article Item not available online. (2009)

Betti numbers and minimal free resolutions for multi-state system reliability bounds Eduardo Saenz-de-Cabezon and Henry Wynn Article Item not available online. (2009)

Bivariate dependence orderings for unordered categorical variables A Giovagnoli, J Marzialetti and Henry Wynn Book Section Item not available online. (2009)

Boosting Active Learning to Optimality: A tractable Monte-Carlo based Approach. Olivier Teytaud, Michele Sebag and Philippe Rolet Conference or Workshop Item (2009)

Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michele Sebag and Olivier Teytaud Article Item not available online. (2009)

Bringing Evolutionary Computation to Industrial Applications with GUIDE Luis DaCosta and Marc Schoenauer Book Section (2009)

Capturing Data Uncertainty in High-Volume Stream Processing Yanlei Diao, Buduo Li, Anna Liu, Liping Peng, Charles Sutton, Thanh Tran and Michael Zink Conference or Workshop Item (2009)

Center-surround patterns emerge as optimal predictors for human saccade targets W. Kienzle, M.O. Franz, B. Schölkopf and F.A. Wichmann Article (2009)

Characteristic Kernels on Groups and Semigroups K. Fukumizu, B.K. Sriperumbudur, A. Gretton and B. Schölkopf Conference or Workshop Item (2009)

Characteristic Polynomial Analysis on Matrix Representations of Graphs Peng Ren and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

Classification of co-expressed genes from DNA regulatory regions Giulio Pavesi and Giorgio Valentini Article (2009)

Classification of sparse high-dimensional vectors. Yu. Ingster, C. Pouet and A.B. Tsybakov Article Item not available online. (2009)

Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob, Francis Bach and Jean-Philippe Vert Book Section Item not available online. (2009)

Clustered Multi-Task Learning: A Convex Formulation Laurent jacob, Francis Bach and Jean-Philippe Vert Conference or Workshop Item (2009)

Comparison of Granger Causality and Phase Slope Index Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Poupescu and Klaus-Robert Müller Conference or Workshop Item (2009)

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

Complexity-based Phrase-table Filtering for Statistical Machine Translation Nadi Tomeh, Nicola Cancedda and Marc Dymetman Conference or Workshop Item (2009)

Composite Kernel Learning Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy Article Item not available online. (2009)

Convergence of Markov chains in information divergence Peter Harremoes and Klaus Holst Article (2009)

Correlated Non-Parametric Latent Feature Models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies Arno Onken, Steffen Grunewalder and Klaus Obermayer Conference or Workshop Item Item not available online. (2009)

Coupled Prediction-Classification for Robust Visual Tracking Ioannis Patras and Edwin Hancock Article Item not available online. (2009)

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

Creating an Upper-Conﬁdence-Tree program for Havannah Olivier Teytaud and Fabien Teytaud Conference or Workshop Item (2009)

Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structure Labels David Hardoon and John Shawe-Taylor Article (2009)

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

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

Dependent Dirichlet Process Spike Sorting Jan Gasthaus, Frank Wood, Dilan Gorur and Yee Whye Teh Book Section Item not available online. (2009)

Detecting and correcting underreported catches in fish stock assessment Nicolas Bousquet, Noel Cadigan, Thierry Duchesne and Louis-Paul Rivest Article Item not available online. (2009)

Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval Christoph Lampert Conference or Workshop Item (2009)

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

Discovering regression data quality through clustering methods Dario Malchiodi, Simone Bassis and Lorenzo Valerio Conference or Workshop Item Item not available online. (2009)

Discriminant Analysis Gilles Celeux Book Section Item not available online. (2009)

Discriminative Machine Learning with Structure Simon Lacoste-Julien Thesis (2009)

Divide-And-Evolve Facing State-of-the-art Temporal Planners during the 6th International Planning Competition Jacques Bibaï, Marc Schoenauer and Pierre Savéant Book Section (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)

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

Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller and Alexander Zien Article (2009)

Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables Patrick de Oude and Gregor Pavlin Conference or Workshop Item Item not available online. (2009)

Efficient reinforcement learning in parametrized models: Discrete parameter case. Kirill Dyagilev, Shie Mannor and Nahum Shimkin Article Item not available online. (2009)

Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm Jean-Marc Montanier and Nicolas Bredeche Conference or Workshop Item Item not available online. (2009)

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

Episode-Constrained Cross-Validation in Video Concept Retrieval Jan C. van Gemert, Cor J. Veenman and Jan-Mark Geusebroek Article Item not available online. (2009)

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

Estimating the Sentence-Level Quality of Machine Translation Systems Lucia Specia, Marco Turchi, Nicola Cancedda, Marc Dymetman and Nello Cristianini Article Item not available online. (2009)

Estimating vector fields using sparse basis field expansions Stefan Haufe, Vadim Nikulin, Klaus-Robert Müller, Andreas Ziehe and Guido Nolte Book Section (2009)

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

Etude comparée des performances de SVM multi-classes en prédiction de la structure secondaire des protéines Yann Guermeur Article Item availablity restricted. (2009)

Evolution de robots autonomes et autres créatures artificielles Nicolas Bredeche Book Section Item not available online. (2009)

Evolving Specific Network Statistical Properties using a Gene Regulatory Network Model Miguel Nicolau and Marc Schoenauer Book Section (2009)

Experimental Comparisons of Derivative Free Optimization Algorithms Anne Auger, Nikolaus Hansen, Jorge Perez Zerpa, Raymond Ros and Marc Schoenauer Book Section (2009)

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

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning Francis Bach Conference or Workshop Item (2009)

Exploring New Horizons in Evolutionary Design of Robots Stephane Doncieux, Jean-Baptiste Mouret and Nicolas Bredeche Conference or Workshop Item Item not available online. (2009)

Exponential family graph matching and ranking James Petterson, Tiberio Caetano, Julian McAuley and Jin Yu Conference or Workshop Item (2009)

Extreme Compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection Jorge Maturana, Alvaro Fialho, Frédéric Saubion, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2009)

Factorial mixture of Gaussians and the marginal independence model Ricardo Silva and Zoubin Ghahramani Article Item not available online. (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)

Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering Francisco Escolano, Daniela Giorgi, Edwin Hancock, Miguel Lozano and Bianca Falcidieno Conference or Workshop Item Item not available online. (2009)

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

Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes Kian Ming Chai Article (2009)

Geometric Characterizations of Graphs Using Heat Kernel Embeddings Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

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

Global Connectivity Potentials for Random Field Models Sebastian Nowozin and Christoph Lampert Conference or Workshop Item (2009)

Grammatical Inference as a Principal Component Analysis Problem Raphael Bailly, François Denis and Liva Ralaivola Article (2009)

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

Graph kernels based on tree patterns for molecules Pierre Mahé and Jean-Philippe Vert Article Item not available online. (2009)

Graph Regularisation Using Gaussian Curvature Hewayda ElGhawalby and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

Graph-Based Object Class Discovery Shengping Xia and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

GREAT: a finite-state machine translation toolkit implementing a Grammatical Inference Approach for Transducer Inference (GIATI) J. González and Francisco Casacuberta Conference or Workshop Item Item not available online. (2009)

Grid Monitoring by Online Clustering Xiangliang Zhang, Cyril Furtlehner, Michele Sebag and Cecile Germain-Renaud Conference or Workshop Item 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)

Handling Missing Values in GPS Surveys Using Survival Analysis: A GPS Case Study of Outdoor Advertising Michael May, Christine Körner, Dirk Hecker, Martial Pasquier, Urs Hofmann and Felix Mende Conference or Workshop Item Item not available online. (2009)

Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method David Windridge, Norman Poh, Vadim Mottl, Alexander Tatarchuk and Andrey Eliseyev Conference or Workshop Item Item not available online. (2009)

Handling phrase reorderings for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Conference or Workshop Item (2009)

Hierarchical Dirichlet Trees for Information Retrieval Yee Whye Teh and Gholamreza Haffari Conference or Workshop Item Item not available online. (2009)

Hierarchical image-region labeling via structured learning Julian McAuley, Teofilo Campos, Gabriela Csurka and Florent Perronin Conference or Workshop Item (2009)

Hypergraphs, Characteristic Polynomials and the Ihara Zeta Function Peng Ren, Tatjana Aleksic, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

Incorporating Prior Knowledge 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)

Inference and Validation of Networks Ilias Flaounas, Marco Turchi, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (2009)

Infinite Hierarchical Hidden Markov Models Katherine Heller, Yee Whye Teh and Dilan Gorur Conference or Workshop Item Item not available online. (2009)

Integrating Distributed Bayesian Inference and Reinforcement Learning for Sensor Management C. Grappiolo, S. Whiteson, G. Pavlin and B. Bakker Conference or Workshop Item (2009)

Kernel change-point analysis Zaid Harchaoui, Francis Bach and Eric Moulines Conference or Workshop Item (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 Computer Vision Christoph Lampert 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)

Kernelized sorting Novi Quadrianto, Le Song and Alex Smola Conference or Workshop Item (2009)

Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (2009)

Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, Shakir Mohamed, David Knowles and Zoubin Ghahramani Conference or Workshop Item (2009)

Learning Class Specific Graph Prototypes Shengping Xia and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

Learning Color Names for Real-World Applications Joost van de Weijer, Cordelia Schmid, Jakob Verbeek and Diane Larlus Article Item not available online. (2009)

Learning Machine Translation Book Item not available online. (2009)

Learning Machine Translation in High-Dimensional Spaces Zhuoran Wang Thesis Item not available online. (2009)

Learning SVMs from Sloppily Labeled Data Guillaume Stempfel and Liva Ralaivola Conference or Workshop Item Item not available online. (2009)

Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer Christoph Lampert, Hannes Nickisch and Stefan Harmeling Conference or Workshop Item (2009)

Learning to segment from a few well-selected training images A Farhangfar, R Greiner and Csaba Szepesvari 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)

Maschinelles Lernen zur Genom-Sequenzanalyse Sören Sonnenburg Article Item not available online. (2009)

Matching Pursuit Kernel Fisher Discriminant Analysis Tom Diethe, Zakria Hussain, David Hardoon and John Shawe-Taylor Conference or Workshop Item (2009)

MCMC methods for Bayesian mixtures of copulas Ricardo Silva and Robert Gramacy Article Item not available online. (2009)

Memory-Enhanced Evolutionary Robotics: The Echo State Network Approach cedric hartland, nicolas bredeche and michele sebag Article (2009)

mGene: A Novel Discriminative Gene Finding System Gabriele Schweikert, Georg Zeller, Alexander Zien, Jonas Behr, Cheng Soon Ong, Petra Philips, Anja Bohlen, Sören Sonnenburg and Gunnar Raetsch Article Item not available online. (2009)

Minimum error-rate training in statistical machine translation using SVMs J. González-Rubio, D. Ortiz-Martinez and Francisco Casacuberta Conference or Workshop Item Item not available online. (2009)

Misleading learners: Co-opting your spam filter Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saina, Charles Sutton, J. D. Tygar and Kai Xai Book Section (2009)

Model selection by resampling penalization Sylvain Arlot Article (2009)

Model-based and Model-free Reinforcement Learning for Visual Servoing Amir massoud Farahmand, Azad Shademan, Martin Jagersand and Csaba Szepesvari Conference or Workshop Item (2009)

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex Arno Onken, Steffen Grunewalder, Matthias Munk and Klaus Obermayer Conference or Workshop Item Item not available online. (2009)

Multi-scale Realtime Grid Monitoring with Job Stream Mining Xiangliang Zhang, Michele Sebag and Cecile Germain Conference or Workshop Item 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)

Multiple Hypothesis Testing in Pattern Discovery Sami Hanhijärvi, Kai Puolamäki and Gemma Garriga Monograph (2009)

Multiple Indefinite Kernel Learning with Mixed Norm Regularization Matthieu Kowalski, Marie Szafranski and Liva Ralaivola Conference or Workshop Item (2009)

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

Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Sébastien Bubeck and Ulrike v. Luxburg Article (2009)

Neuroevolutionary reinforcement learning for generalized helicopter control R. Koppejan and S. Whiteson Conference or Workshop Item Item not available online. (2009)

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

Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis Fei Yan, Josef Kittler, Krystian Mikolajczyk and Muhammad Tahir Conference or Workshop Item Item not available online. (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)

Object Localization with Global and Local Context Kernels Matthew Blaschko and Christoph Lampert Conference or Workshop Item (2009)

On adaptive self-organization in artificial robot organisms Serge Kernbach, Heiko Hamann, Juergen Stradner, Ronald Thenius, Thomas Schmickl, A.C. van Rossum, Michele Sebag, Nicolas Bredeche, Yao Yao, Guy Baele, Yves Van de Peer, John Timmis, Maizura Mohktar, Andrew Tyrrell, A.E. Eiben, S.P. McKibbin, W. Liu and A. F.T. Winfield Conference or Workshop Item 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 Structured Output Training: Hard Cases and an Efficient Alternative Thomas Gaertner and Shankar Vembu Article Item not available online. (2009)

On Subgroup Discovery in Numerical Domains Henrik Grosskreutz and Stefan Rüping Article Item not available online. (2009)

On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model Miguel Nicolau and Marc Schoenauer Article (2009)

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

On-line, On-board Evolution of Robot Controllers Nicolas Bredeche, Evert Haasdijk and A.E. Eiben Conference or Workshop Item Item not available online. (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)

Open-ended On-board Evolutionary Robotics for Robot Swarms Guy Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, Nico Michiels, Yves Van der peer, Thomas Schmickl, Christopher Schwarzer and Ronald Thenius Conference or Workshop Item Item not available online. (2009)

Optimal Constraint-based Decision Tree Induction from Itemset Lattices Elisa Fromont and Siegfried Nijssen Article Item not available online. (2009)

Optimal robust expensive optimization is tractable Philippe Rolet, Olivier Teytaud and Michele Sebag Article 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)

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization Vojtech Franc and Sören Sonnenburg Article (2009)

Optimizing Low-Discrepancy Sequences with an Evolutionary Algorithm Francois-Michel De Rainville, Christian Gagné, Olivier Teytaud and Denis Laurendeau Conference or Workshop Item (2009)

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

Pairwise Similarity Propagation Based Graph Clustering for Scalable Object Indexing and Retrieval Shengping Xia and Edwin Hancock Conference or Workshop Item Item not available online. (2009)

Pattern Recognition with a Bayesian Kernel Combination Machine Theodoros Damoulas and Mark Girolami Article Item not available online. (2009)

Permutation Tests for Studying Classifier Performance Markus Ojala and Gemma Garriga Conference or Workshop Item (2009)

Piecewise Training for Structured Prediction Charles Sutton and Andrew McCallum Article (2009)

Planning and Moving in Dynamic Environments - A Statistical Machine Learning Approach. S Vijayakumar, M Toussaint, G Petkos and M Howard Book Section (2009)

Predicting and understanding the stability of G-quadruplexes Oliver Stegle, Linda Payet, Jean-Louis Mergny, David J.C. MacKay and Julian L. Huppert Article Item not available online. (2009)

Predicting gene expression from heterogeneous data Matteo Re and Giorgio Valentini Conference or Workshop Item (2009)

Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis Kristien Van Loon, Fabian Guiza, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greet Van den Berghe and Daniel Berckmans Article Item not available online. (2009)

Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods Stefano Lise, Cedric Archambeau, Massimiliano Pontil and David Jones Article Item not available online. (2009)

Prediction with the SVM using test point margins Sureyya Ozogur-Akyuz, Zakria Hussain and John Shawe-Taylor Article Item not available online. (2009)

Predictive models for music Jean-Francois Paiement, Yves Grandvalet and Samy Bengio Article Item not available online. (2009)

Probabilistic Inference over RFID Streams in Mobile Environments Thanh Tran, Charles Sutton, Richard Cocci, Yanming Nie, Yanlei Diao and Prashant Shenoy Conference or Workshop Item (2009)

Probabilistic relaxation labelling using the Fokker-Planck equation Hongfang Wang and Edwin Hancock Article Item not available online. (2009)

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

Radius-Margin Bound on the Leave-One-Out Error of the LLW-M-SVM Yann Guermeur and E. Monfrini Conference or Workshop Item Item availablity restricted. (2009)

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

Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints Jan Steffen, Stefan Klanke, Sethu Vijayakumar and Helge Ritter Conference or Workshop Item Item availablity restricted. (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)

Regularized Policy Iteration Amir massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvari and Shie Mannor Conference or Workshop Item (2009)

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

Relevance grounding for planning in relational domains Tobias Lang and Marc Toussaint Conference or Workshop Item (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)

Shape classification through structured learning of matching measures Longbin Chen, Julian McAuley, Rogero Feris, Tiberio Caetano and Matthew Turk Conference or Workshop Item (2009)

Simulated Iterative Classification A New Learning Procedure for Graph Labeling Francis maes, stephane peters, Ludovic Denoyer and Patrick Gallinari Conference or Workshop Item Item not available online. (