PASCAL - Subject: Learning/Statistics & Optimisation

Efficient Learning for Hashing Proportional Data Zhao Xu, Kristian Kersting and Christian Bauckhage Conference or Workshop Item Item not available online. (December 2102)

A Simple Geometric Interpretation of SVM using Stochastic Adversaries Roi Livni and Amir Globerson Conference or Workshop Item (01 April 2013)

Empowering Automatic Data-Center Management with Machine Learning Josep Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item not available online. (18 March 2013)

Toward a classification of finite partial-monitoring games András Antos, Gabor Bartok, Dávid Pál and Csaba Szepesvari Article Item not available online. (18 February 2013)

Bayesian nonparametrics and the probabilistic approach to modelling Zoubin Ghahramani Article (13 February 2013)

Keep it simple stupid—On the effect of lower-order terms in BIC-like criteria Teemu Roos and Yuan Zou Conference or Workshop Item (10 February 2013)

Concentration Inequalities A Nonasymptotic Theory of Independence Stephane Boucheron, Gábor Lugosi and Pascal Massart Book (07 February 2013)

IM3SHAPE: A maximum-likelihood galaxy shear measurement code for cosmic gravitational lensing Joe Zuntz, Tomasz Kacprzak, Lisa Voigt, Michael Hirsch, Barnaby Rowe and Sarah Bridle Article (01 February 2013)

Large margin case-based reasoning Martin Anthony and Joel Ratsaby Monograph Item not available online. (February 2013)

NetBox: a Probabilistic Method for Modeling and Mining Market Basket Data José Miguel Hernánez Lobato and Zoubin Ghahramani Article Item not available online. (February 2013)

Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments Yevgeny Seldin, Csaba Szepesvári, Peter Auer and Yasin Abbasi-Yadkori Article (12 January 2013)

A study on output normalization in multiclass svms Luis Gonzalez-Abril, Francisco Velasco, Cecilio Angulo and Juan Antonio Ortega Article (January 2013)

Multitask Remote Sensing Data Classification Jose Leiva-Murillo, Luis Gomez-Chova and Gustavo Camps-Valls Article (January 2013)

Regret minimization for reserve prices in second-price auctions Nicolò Cesa-Bianchi, Claudio Gentile and Yishay Mansour Conference or Workshop Item (January 2013)

A Blind Deconvolution Approach for Pseudo CT Prediction from MR Image Pairs M Hirsch, M Hofmann, F Mantlik, M Habeck, BJ Pichler and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)

A neural network algorithm for semi-supervised node label learning from unbalanced data Marco Frasca, Alberto Bertoni, Matteo Re and Giorgio Valentini Article (2013)

A Robust and Scalable Visual Category and Action Recognition System using Kernel Discriminant Analysis with Spectral Regression Muhammad Tahir, Fei Yan, Piotr Koniusz, Muhammad Awais, Mark Barnard, Krystian Mikolajczyk and Josef Kittler Article Item not available online. (2013)

BoostingTree: Parallel Selection of Weak Learners in Boosting, with Application to Ranking Levente Kocsis, Andras Gyorgy and Andrea N. Bán Article Item not available online. (2013)

Consistent order estimation and minimal penalties Elisabeth Gassiat Article Item not available online. (2013)

Dictionary Learning Based Sparse Coefficients for Audio Classification with Max and Average Pooling Syed Zubair, Fei Yan and Wenwu Wang Article Item not available online. (2013)

Domain Generalization via Invariant Feature Representation K Muandet, D Balduzzi and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)

Dynamic Copula Networks for Modeling Real-valued Time Series Gal Elidan, Israel Nelken, Adi Mizrahi and Gideon Rothschild Conference or Workshop Item (2013)

Estimating the probability of success of a simple algorithm for switched linear regression fabien lauer Article Item not available online. (2013)

Gaussian Process Vine Copulas for Multivariate Dependence David López-Paz, José Miguel Hernánez Lobato and Zoubin Ghahramani Article (2013)

Hybrid regulatory models: a statistically tractable approach to model regulatory network dynamics. Andrea Ocone, Andrew Millar and Guido Sanguinetti Article Item not available online. (2013)

Joint estimation of intersecting context tree models Antonio Galves, Aurelien Garivier and Elisabeth Gassiat Article Item not available online. (2013)

Learned Graphical Models for Probabilistic Planning Provide a New Class of Movement Primitives Elmar Rückert, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Article Item not available online. (2013)

Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems Elmar Rückert and Andrea d'Avella Conference or Workshop Item Item not available online. (2013)

Learning, Agents and Formal Languages: State of the Art Leonor Becerra and M. Dolores Jiménez-López Conference or Workshop Item Item not available online. (2013)

Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data Antti Honkela, Magnus Rattray and Neil Lawrence Book Section Item not available online. (2013)

Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark Mohamed-Redouane Khouadjia, Marc Schoenauer, Vncent Vidal, Johann Dréo and Pierre Savéant Conference or Workshop Item (2013)

Probabilistic Modeling of Human Movements for Intention Inference Z Wang, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters Conference or Workshop Item Item not available online. (2013)

Probabilistic movement modeling for intention inference in human-robot interaction Z Wang, K Mülling, M Deisenroth, H Ben Amor, D Vogt, Bernhard Schölkopf and J Peters Article Item not available online. (2013)

Random function priors for exchangeable arrays with applications to graphs and relational data James Lloyd, Peter Orbanz, Zoubin Ghahramani and Daniel Roy Conference or Workshop Item (2013)

Random spanning trees and the prediction of weighted graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Article (2013)

Random walk kernels and learning curves for Gaussian process regression on random graphs Matthew Urry and Peter Sollich Article (2013)

Results and Analysis of the ChaLearn Gesture Challenge 2012 Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante and Ben Hamner Conference or Workshop Item (2013)

Robust tests for model selection Lucien Birgé Book Section Item not available online. (2013)

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz and Tong Zhang Article (2013)

Structure and Dynamics of Information Pathways in On-line Media M Gomez Rodriguez, J Leskovec and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2013)

The local geometry of finite mixtures Elisabeth Gassiat and Ramon van Handel Article Item not available online. (2013)

Variational Optimisation Joe Staines and David Barber Article Item not available online. (2013)

Identification of OCD-relevant brain areas through Multivariate Feature Selection Emilio Parrado-Hernandez, Vanessa Gomez-Verdejo, Manel Martinez-Ramon, P Alonso, J Pujol, J.M. Menchon, N. Cardoner and Carles Soriano-Mas Conference or Workshop Item Item availablity restricted. (17 December 2012)

Comparison of Mid-Level Feature Coding Approaches And Pooling Strategies in Visual Concept Detection Piotr Koniusz, Fei Yan and Krystian Mikolajczyk Article Item not available online. (14 December 2012)

A Two-stage Pretraining Algorithm for Deep Boltzmann Machines KyungHyun Cho, Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item Item not available online. (08 December 2012)

Optimal Computational Trade-Off of Inexact Proximal Methods Pierre Machart, Sandrine Anthoine and Luca Baldassarre Conference or Workshop Item (07 December 2012)

Online Regret Bounds for Undiscounted Continuous Reinforcement Learning Ronald Ortner and Daniil Ryabko Conference or Workshop Item Item not available online. (06 December 2012)

Collaborative Gaussian Processes for Preference Learning Neil Houlsby, José Miguel Hernánez Lobato, Ferenc Huszar and Zoubin Ghahramani (alternate email address test) Conference or Workshop Item Item not available online. (03 December 2012)

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms Ofer Meshi, Tommi Jaakkola and Amir Globerson Conference or Workshop Item (03 December 2012)

Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints Stefan Habenschuss, Johannes Bill and Bernhard Nessler Conference or Workshop Item Item not available online. (03 December 2012)

Searching for object driven by context Bogdan Alexe and Vittorio Ferrari Article (03 December 2012)

Spectral Learning of General Weighted Automata via Constrained Matrix Completion Borja Balle and Mehryar Mohri Conference or Workshop Item Item not available online. (03 December 2012)

Multiple Operator-valued Kernel Learning Hachem Kadri, Alain Rakotomamonjy, Francis Bach and Philippe Preux Conference or Workshop Item Item not available online. (December 2012)

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation Aaron Defazio and Tiberio Caetano Conference or Workshop Item (December 2012)

A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks Matteo Re, Marco Mesiti and Giorgio Valentini Article (December 2012)

A linear time active learning algorithm for link classification Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (December 2012)

A NONPARAMETRIC BAYESIAN APPROACH TO LEARNING MULTIMODAL INTERACTION MANAGEMENT Zhuoran Wang and Oliver Lemon Conference or Workshop Item Item not available online. (December 2012)

Bayesian nonparametric modeling of suicide attempts Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco and Fernando Perez-Cruz Conference or Workshop Item (December 2012)

Bayesian Warped Gaussian Processes Miguel Lazaro-Gredilla Conference or Workshop Item (December 2012)

Confusion-Based Online Learning and a Passive-Aggressive Scheme Liva Ralaivola Conference or Workshop Item Item not available online. (December 2012)

Continuous Relaxations for Discrete Hamiltonian Monte Carlo Yichuan Zhang, Charles Sutton, Amos Storkey and Zoubin Ghahramani Conference or Workshop Item (December 2012)

Hierarchical Optimistic Region Selection driven by Curiosity. Odalric-Ambrym Maillard Article Item not available online. (December 2012)

Natural Images, Gaussian Mixtures and Dead Leaves. Daniel Zoran and Yair Weiss Conference or Workshop Item (December 2012)

On multilabel classification and ranking with partial feedback Claudio Gentile and Francesco Orabona Conference or Workshop Item (December 2012)

On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking clement Caluzenes, Nicolas Usunier and Patrick Gallinari Conference or Workshop Item Item not available online. (December 2012)

Online allocation and homogeneous partitioning for piecewise constant mean-approximation. Alexandra Carpentier and Odalric-Ambrym Maillard Article Item not available online. (December 2012)

PAC-Bayes Bounds with Data Dependent Priors Emilio Parrado-Hernandez, John Shawe-Taylor, Amiran Ambroladze and Shiliang Sun Article Item not available online. (December 2012)

PAC-Bayesian Inequalities for Martingales Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor and Peter Auer Article Item not available online. (December 2012)

Proceedings of the Fifth Workshop on Information Theoretic Methods in Science and Engineering (WITMSE 2012) Book Item not available online. (December 2012)

Regularized Bundle Methods for Convex and Non-Convex Risks T-M-T Do and T Artières Article Item not available online. (December 2012)

Structured learning of human interactions in TV shows Alonso Patron, Marcin Marszalek, Ian Reid and Andrew Zisserman Article (December 2012)

Supporting User-Defined Functions on Uncertain Data Thanh T. L. Tran, Yanlei Diao, Charles Sutton and Anna Liu Conference or Workshop Item (December 2012)

Symbolic Dynamic Programming for Continuous State and Observation POMDPs Zahra Zamani, Scott Sanner, Pascal Poupart and Kristian Kersting Conference or Workshop Item Item not available online. (December 2012)

Prediction by Posterior Estimation in Virtual Screening Kitsuchart Pasupa Conference or Workshop Item (21 November 2012)

Boosting an operator-valued kernel autoregressive model to infer gene regulatory networks Néhémy Lim, Yasin \c{S}enbabao\u{g}lu, George Michailidis and Florence d'Alché-Buc Article Item availablity restricted. (15 November 2012)

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation Aaron Defazio and Tiberio Caetano Conference or Workshop Item (10 November 2012)

Appearance Sharing for Collective Human Pose Estimation Marcin Eichner and Vittorio Ferrari Conference or Workshop Item Item availablity restricted. (05 November 2012)

Learning curves for multi-task Gaussian process regression Simon R F Ashton and Peter Sollich Conference or Workshop Item (02 November 2012)

Concentration inequalities for order statistics Stephane Boucheron and Maud Thomas Article (01 November 2012)

Analysis of Extended Baum-Welch and Constrained Optimization for Discriminative Training of HMMs Janne Pylkkönen and Mikko Kurimo Article Item not available online. (November 2012)

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction Fabienne Thomarat, fabien lauer and Yann Guermeur Conference or Workshop Item Item availablity restricted. (November 2012)

Comparison of early and late omics data integration for cancer modules gene ranking Matteo Re, Marco Mesiti and Giorgio Valentini Conference or Workshop Item (November 2012)

Competing with an Infinite Set of Models in Reinforcement Learning Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko and Ronald Ortner Conference or Workshop Item Item not available online. (November 2012)

Efficient Tracking of Large Classes of Experts Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item not available online. (November 2012)

Human Pose Co-Estimation and Applications Marcin Eichner and Vittorio Ferrari Article Item availablity restricted. (November 2012)

Measuring the objectness of image windows Bogdan Alexe, Thomas Deselaers and Vittorio Ferari Article (November 2012)

Sample width for multi-category classifiers Martin Anthony and Joel Ratsaby Monograph Item not available online. (November 2012)

Shape Similarity based on Combinatorial Maps and a Tree Pattern Kernel Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoît Gaüzère and Myriam Mokhtari Conference or Workshop Item (November 2012)

Ensemble Segmentation Using Efficient Integer Linear Programming Amir Alush and Jacob Goldberger Article (13 October 2012)

Image Analysis for Cosmology: Results from the GREAT10 Star Challenge Thomas Kitching, Barnaby Rowe, M Gill, C Heymans, R Massey, D Witherick, F Courbin, K Georgatzis, M Gentile, D Gruen, M Kilbinger, G L Li, A P Mariglis, G Meylan, A Storkey and B Xin Article (06 October 2012)

Optimal regret bounds for selecting the state representation in reinforcement learning. Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner and Daniil Ryabko Article (01 October 2012)

Empirical portfolio selection strategies with proportional transaction cost Laszlo Gyorfi and Harro Walk Article Item not available online. (October 2012)

Has my Algorithm Succeeded? An Evaluator for Human Pose Estimators Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari and C. V Jawahar Conference or Workshop Item Item availablity restricted. (October 2012)

Learning to Detect Cells Using Non-overlapping Extremal Regions Carlos Arteta, Victor Lempitsky, J. Alison Noble and Andrew Zisserman Conference or Workshop Item (October 2012)

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost Thomas Mensink, Jakob Verbeek, Florent Perronnin and Gabriela Csurka Conference or Workshop Item Item not available online. (October 2012)

Oger: Modular Learning Architectures For Large-Scale Sequential Processing David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers and Dejan Pecevski Article Item not available online. (October 2012)

Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells Alessandro Beghini, Francesca Corlazzoli, Luca Del Giacco, Matteo Re, Francesca Lazzaroni, Matteo Brioschi, Giorgio Valentini, Fulvia Ferrazzi, Anna Ghilardi, Marco Righi, Mauro Turrini, Marco Mignardi, Clara Cesana, Vincenzo Bronte, Mats Nilsson, Enrica Morra and Roberto Cairoli Article (October 2012)

Segmentation Propagation in ImageNet Daniel Kuettel, Matthieu Guillaumin and Vittorio Ferrari Conference or Workshop Item (October 2012)

Sequential approaches for learning datum-wise sparse representations Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari Article Item not available online. (October 2012)

UNSUPERVISED FEATURE SELECTION BASED ON NON-PARAMETRIC MUTUAL INFORMATION Lev Faivishevsky and Jacob Goldberger Conference or Workshop Item (25 September 2012)

Contrasting subgroup discovery Nada Lavrac, Laura Langohr, Vid Podpečan, Marko Petek, Igor Mozetič, Kristina Gruden and Hannu Toivonen Article Item not available online. (22 September 2012)

Gated Boltzmann Machine in Texture Modeling Tele Hao, Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item Item not available online. (11 September 2012)

Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts Juha Raitio, Tapani Raiko and Timo Honkela Conference or Workshop Item Item not available online. (11 September 2012)

Learning Deep Belief Networks from Non-Stationary Streams Roberto Calandra, Tapani Raiko, Federico Montesino Pouzols and Mark P. Deisenroth Conference or Workshop Item Item not available online. (11 September 2012)

Tikhonov-Type Regularization for Restricted Boltzmann Machines KyungHyun Cho, Alexander Ilin and Tapani Raiko Conference or Workshop Item Item not available online. (11 September 2012)

Autonomous Navigation and Sign Detector Learning Liam Ellis, Nicolas Pugeault, Kristoffer Ofjall, Johan Hedborg, Richard Bowden and Michael Felsberg Conference or Workshop Item (05 September 2012)

Minimax strategy for stratified sampling for Monte Carlo Alexandra Carpentier, Rémi Munos and András Antos Article Item not available online. (02 September 2012)

Large Scale Metric Learning for Distance-Based Image Classification Thomas Mensink, Jakob Verbeek, Florent Perronnin and Gabriela Csurka Monograph Item not available online. (September 2012)

A Kernel for Time Series Classification: Application to Atmospheric Pollutants Marta Arias, Alicia Troncoso and José C. Riquelme Conference or Workshop Item Item availablity restricted. (September 2012)

Cancer module genes ranking using kernelized score functions Matteo Re and Giorgio Valentini Article (September 2012)

Classification of Distorted Patterns by Feed-forward Spiking Neural Networks Ioana Sporea and Andre Gruning Conference or Workshop Item (September 2012)

Efficient Graph Kernels by Randomization Marion Neumann, Novi Patricia, Roman Garnett and Kristian Kersting Conference or Workshop Item Item not available online. (September 2012)

Enhancing Exemplar SVMs using Part Level Transfer Regularization Yusuf Aytar and Andrew Zisserman Conference or Workshop Item (September 2012)

Evaluating the Effect of Spiking Network Parameters on Polychronization P Ioannou, Matthew Casey and Andre Gruning Conference or Workshop Item (September 2012)

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari Conference or Workshop Item Item not available online. (September 2012)

Improving Discriminative Training for Robust Acoustic Models in Large Vocabulary Continuous Speech Recognition Janne Pylkkönen and Mikko Kurimo Conference or Workshop Item Item availablity restricted. (September 2012)

Learning smooth models of nonsmooth functions via convex optimization fabien lauer, Van Luong Le and Gérard Bloch Conference or Workshop Item Item not available online. (September 2012)

Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahamadi, Kristian Kersting and Sriraam Natarajan Conference or Workshop Item Item not available online. (September 2012)

Linear regression with random projections. Odalric-Ambrym Maillard and Rémi Munos Article (September 2012)

Multi-task Regression using Minimal Penalties Mathieu Solnon, Sylvain Arlot and Francis Bach Article Item not available online. (September 2012)

Optimization-Based Control for the Extended Baum-Welch Algorithm Janne Pylkkönen and Mikko Kurimo Conference or Workshop Item Item availablity restricted. (September 2012)

Results of the PAutomaC Probabilistic Automaton Learning Competition Sicco Verwer, Rémi Eyraud and Colin de la Higuera Article (September 2012)

Semi-Supervised Apprenticeship Learning Michal Valko, Mohammad Ghavamzadeh and Alessandro Lazaric Article (September 2012)

Weakly Supervised Localization and Learning with Generic Knowledge Thomas Deselaers, Bogdan Alexe and Vittorio Ferrari Article (September 2012)

Toward Energy-Aware Scheduling Using Machine Learning Josep Berral, Íñigo Goiri, Ramon Nou, Ferran Julià, J.Oriol Fitó, Jordi Guitart, Ricard Gavaldà and Jordi Torres Book Section Item not available online. (21 August 2012)

Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search—Extreme Learning Machine Approach I Landa, E. Ortiz, S. Salcedo, M.J. Segovia, S. Gil, M. Miranda, Jose Leiva-Murillo and J. Del Ser Article Item not available online. (August 2012)

Nowcasting the mood of the nation Thomas Lansdall-Welfare, Vasileios Lampos and Nello Cristianini Article Item not available online. (August 2012)

Optimally-Weighted Herding is Bayesian Quadrature Ferenc Huszar and David Duvenaud Article Item not available online. (August 2012)

Supervised Learning in Multilayer Spiking Neural Networks Ioana Sporea and Andre Gruning Article Item not available online. (August 2012)

Explicit modeling of human-object interactions in realistic videos Alessandro Prest, Vittorio Ferrari and Cordelia Schmid Article Item not available online. (25 July 2012)

Symbolic Variable Elimination for Discrete and Continuous Graphical Models Scott Sanner and Ehsan Abbasnejad Conference or Workshop Item (22 July 2012)

Gaze shift behavior on video as composite information foraging Giuseppe Boccignone and Mario Ferraro Article Item not available online. (21 July 2012)

Feed and fly control of visual scanpaths for foveation image processing Giuseppe Boccignone and Mario Ferraro Article Item availablity restricted. (18 July 2012)

Efficient Cross-validation for Kernelized Least-Squares Regression with Sparse Basis Expansions Tapio Pahikkala, Hanna Suominen and Jorma Boberg Article (08 July 2012)

Transductive Transfer Learning for Action Recognition Teo de Campos and Nazli Faraji Davar Conference or Workshop Item Item not available online. (08 July 2012)

A log square average case algorithm to make insertions in fast similarity search Luisa Mico and Jose Oncina Article Item not available online. (01 July 2012)

Efficient tracking of large classes of experts Andras Gyorgy, Tamas Linder and Gábor Lugosi Conference or Workshop Item Item not available online. (01 July 2012)

Item Fields -- A Probabilistic Neighbourhood Approach to Collaborative Filtering with Undirected Graphical Models Aaron Defazio and Tiberio Caetano Conference or Workshop Item (01 July 2012)

Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods Vasileios Lampos Thesis (July 2012)

Link prediction via latent factor BlockModel Sheng Gao, Ludovic Denoyer and Patrick Gallinari Conference or Workshop Item Item not available online. (July 2012)

Manifold Relevance Determination Andreas Damianou, Carl Henrik Ek, Michalis Titsias and Neil Lawrence Conference or Workshop Item (July 2012)

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference Matteo Re, Giorgio Valentini and Nicolò Cesa-Bianchi Article (July 2012)

Query Parsing Using Probabilistic Tree Grammars Jose F. Bernabeu Briones, Jorge Calera-Rubio, José Iñesta and David Rizo Conference or Workshop Item Item not available online. (30 June 2012)

The most persistent soft-clique in a set of sampled graphs Novi Quadrianto, Chao Chen and Christoph Lampert Conference or Workshop Item (29 June 2012)

A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training Aaron Defazio and Tiberio Caetano Conference or Workshop Item (25 June 2012)

Divergences and Risks for Multiclass Experiments Dario Garcia and Bob Williamson Conference or Workshop Item (18 June 2012)

Learning Object Class Detectors from Weakly Annotated Video Alessandro Prest, Christian Leistner, Javier Civera, Cordelia Schmid and Vittorio Ferrari Conference or Workshop Item Item not available online. (16 June 2012)

Nonparametric Bayesian clustering via infinite warped mixture models Tomoharu Iwata, David Duvenaud and Zoubin Ghahramani (alternate email address test) Article (11 June 2012)

Semantic subgroup discovery systems and workflows in the SDM-Toolkit Nada Lavrac and Anže Vavpetič Article Item not available online. (04 June 2012)

A correlation clustering approach to link classification in signed networks Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item (June 2012)

A Software system for the microbial source tracking problem David Sànchez-Mendoza Thesis Item not available online. (June 2012)

Active Learning for Semantic Segmentation with Expected Change Alexander Vezhnevets, Joachim Buhmann and Vittorio Ferrari Conference or Workshop Item (June 2012)

Adaptive compression against a countable alphabet. Dominique Bontemps, Stephane Boucheron and Elisabeth Gassiat Conference or Workshop Item (June 2012)

ChaLearn gesture challenge: Design and first results Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Ben Hamner and Hugo Jair Escalante Conference or Workshop Item Item availablity restricted. (June 2012)

Image categorization using Fisher kernels of non-iid image models R. Cinbis, Jakob Verbeek and Cordelia Schmid Conference or Workshop Item Item not available online. (June 2012)

Improved Spike-Timed Mappings using a Tri-Phasic Spike Timing-Dependent Plasticity Rule Scott Notley and Andre Gruning Conference or Workshop Item Item not available online. (June 2012)

Learning on finite metric spaces Martin Anthony and Joel Ratsaby Monograph Item not available online. (June 2012)

Predicting information diffusion on social networks with partial knowledge Anis Najar, Ludovic Denoyer and Patrick Gallinari Conference or Workshop Item Item not available online. (June 2012)

The Emergence of Polychronous Groups under Varying Input Patterns, Plasticity Rules and Network Connectivities Joseph Chrol-Cannon, Andre Gruning and Yaochu Jin Conference or Workshop Item (June 2012)

Video Retrieval by Mimicking Poses Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari and C. V Jawahar Conference or Workshop Item Item availablity restricted. (June 2012)

Weakly Supervised Structured Output Learning for Semantic Segmentation Alexander Vezhnevets, Vittorio Ferrari and Joachim Buhmann Conference or Workshop Item (June 2012)

PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette and John Shawe-Taylor Article (02 May 2012)

Decentralized Detection with Energy-Aware Greedy Selective Sensors Jesus Fernandez-Bes and Jesus Cid-Sueiro Conference or Workshop Item Item availablity restricted. (May 2012)

Feature Selection via Dependence Maximization Le Song, Alex Smola, Arthur Gretton, Justin Bedo and Karsten Borgwardt Article Item not available online. (May 2012)

On voting intentions inference from Twitter content: a case study on UK 2010 General Election Vasileios Lampos Monograph (May 2012)

Spatial statistical calibration of CFD modelling of street canyons flows Serge Guillas, Nina Glover and Liora Malki-Epshtein Conference or Workshop Item Item not available online. (May 2012)

Spectral Learning for Non-Deterministic Dependency Parsing Franco M. Luque, Ariadna Quattoni, Borja Balle and Xavier Carreras Conference or Workshop Item Item not available online. (23 April 2012)

Deep learning made easier by linear transformations in perceptrons Tapani Raiko, Harri Valpola and Yann LeCun Conference or Workshop Item Item not available online. (21 April 2012)

Globally Optimizing Graph Partitioning Problems Using Message Passing Elad Mezuman and Yair Weiss Article (21 April 2012)

The Adversarial Stochastic Shortest Path Problem with Unknown Transition Probabilities Gergely Neu, Andras Gyorgy and Csaba Szepesvari Conference or Workshop Item Item not available online. (21 April 2012)

Data dependent kernels in nearly-linear time Guy Lever, Tom Diethe and John Shawe-Taylor Conference or Workshop Item Item not available online. (18 April 2012)

Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding Andre Gruning and Ioana Sporea Article Item not available online. (18 April 2012)

Managing Advertising Campaigns - an Approximate Planning approach sertan girgin, Jérémie Mary, Philippe Preux and olivier nicol Article (April 2012)

Agriculture's Technological Makeover Christian Bauckhage, Kristian Kersting and Albrecht Schmidt Article Item not available online. (April 2012)

Bayesian Group Factor Analysis Seppo Virtanen, Arto Klami, Suleiman A. Khan and Samuel Kaski Conference or Workshop Item (April 2012)

Drug repositioning through pharmacological spaces integration based on networks projections Matteo Re, Marco Mesiti and Giorgio Valentini Article (April 2012)

Lifted Linear Programming Martin Mladenov, Babak Ahamadi and Kristian Kersting Conference or Workshop Item Item not available online. (April 2012)

Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data Martin Schiegg, Marion Neumann and Kristian Kersting Conference or Workshop Item Item not available online. (April 2012)

Online Clustering of Processes Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary and Philippe Preux Conference or Workshop Item Item not available online. (April 2012)

Regularized Network-Based Algorithm for Predicting Gene Functions with High-Imbalanced Data Marco Frasca, Alberto Bertoni and Giorgio Valentini Article (April 2012)

3D Morphable Model Fitting For Low-Resolution Facial Images Pouria Mortazavian, Josef Kittler and William Christmas Conference or Workshop Item Item not available online. (29 March 2012)

Dimensionality reduction based on nonparametric mutual information Lev Faivishevsky and Jacob Goldberger Article Item not available online. (23 March 2012)

Predicting Best Design Trade-offs: A Case Study in Processor Customization Marcela Zuluaga, Edwin Bonilla and Nigel Topham Conference or Workshop Item (10 March 2012)

2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images Marcin Eichner, Manuel Marin Jimenez, Andrew Zisserman and Vittorio Ferrari Article (March 2012)

Audio Inpainting Amir Adler, Valentin Emiya, Maria Jaffari, Michael Elad, Rémi Gribonval and Mark Plumbley Article Item not available online. (March 2012)

Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN Karhila Reima, Sanand Rama, Mikko Kurimo and Smit Peter Conference or Workshop Item Item availablity restricted. (March 2012)

Descriptive matrix factorization for sustainability: Adopting the principle of opposites. Christian Thurau, Kristian Kersting, Mirwaes Wahabzada and Christian Bauckhage Article Item not available online. (March 2012)

Diagnosing flu symptoms with social media Vasileios Lampos and Nello Cristianini Article Item not available online. (March 2012)

Machine Learning for Financial Engineering Book Item not available online. (March 2012)

Non-Sparse Multiple Kernel Fisher Discriminant Analysis Fei Yan, Josef Kittler, Krystian Mikolajczyk and Muhammad Tahir Article Item not available online. (March 2012)

Sparse underwater acoustic imaging: a case study Nikolaos Stefanakis, Jacques Marchal, Valentin Emiya, Nancy Bertin, Rémi Gribonval and Pierre Cervenka Conference or Workshop Item Item not available online. (March 2012)

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Image Analysis for Cosmology: Results from the GREAT10 Galaxy Challenge Thomas Kitching, S T Balan, Sarah Bridle, N Cantale, F Courbin, M Gentile, M Gill, S Harmeling, C Heymans, M Hirsch, T Kacprzak, D Kirkby, D Margala, R Massey, P Melchior, G Nurbaeva, K Patton, J Rhodes, Barnaby Rowe, A N Taylor, M Tewes, M Viola, D Witherick, L Voigt, J Young and J Zuntz Article Item not available online. (23 February 2012)

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar, Amir Globerson and Michael Werman Conference or Workshop Item (15 February 2012)

Kernel change-point detection Sylvain Arlot, Alain Celisse and Zaid Harchaoui Other (14 February 2012)

Feature Extraction for Change-Point Detection using Stationary Subspace Analysis D A J Blythe, Paul Buenau, Frank Meinecke and Klaus-Robert Müller Article Item not available online. (12 February 2012)

Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection Gavin Brown, Adam Pocock, Ming-Jie Zhao and Mikel Lujan Article (10 February 2012)

Tighter PAC-Bayes bounds through distribution dependent priors Guy Lever, Francois Laviolette and John Shawe-Taylor Article Item not available online. (10 February 2012)

On codecell convexity of optimal multiresolution scalar quantizers for continuous sources András Antos Article Item not available online. (06 February 2012)

Multiple Texture Boltzmann Machines Jyri Kivinen and Christopher Williams Conference or Workshop Item Item availablity restricted. (03 February 2012)

Efficient Path Kernels for Reaction Function Prediction Markus Heinonen, Niko Välimäki, Veli Mäkinen and Juho Rousu Conference or Workshop Item (01 February 2012)

Emergence of optimal decoding of population coding through STDP Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Article Item not available online. (01 February 2012)

A Relational Distance-based Framework for Hierarchical Image Understanding L. Antanas, M. van Otterlo, J.A. Oramas Mogrovejo, Tinne Tuytelaars and Luc De Raedt Conference or Workshop Item Item not available online. (February 2012)

Enabling the Discovery of Computational Characteristics of Enzyme Dynamics Gareth Jones, Chris Lovell, Steve Gunn, Hywel Morgan and Klaus-Peter Zauner Conference or Workshop Item Item not available online. (February 2012)

Music Genre Classification based on Dynamical Models Alberto Garcia-Duran, Jerónimo Arenas-Garcia, Dario Garcia and Emilio Parrado-Hernandez Conference or Workshop Item Item not available online. (February 2012)

Optimal control as a graphical model inference problem Bert Kappen, Vicenc Gomez and Manfred Opper Article Item not available online. (February 2012)

Towards Improved Theoretical Problems for Autonomous Discovery Chris Lovell and Steve Gunn Conference or Workshop Item Item not available online. (February 2012)

Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning Matthias Rupp, Alexandre Tkatchenko, Klaus-Robert Müller and O. Anatole von Lilienfeld Article Item not available online. (31 January 2012)

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Towards a theoretical foundation for morphological computation with compliant bodies. Helmut Hauser, Auke Ijspeert, Rudolf Fuechslin, Rolf Pfeiffer and Wolfgang Maass Article Item not available online. (31 January 2012)

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Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning Zhuoran Wang, Anoop Shah, A. Rosemary Tate, Spiros Denaxas, John Shawe-Taylor and Harry Hemingway Article (19 January 2012)

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Affine Independent Variational Inference Edward Challis and David Barber Article Item not available online. (2012)

Algorithms for Maximum-Likelihood Bandwidth Selection in Kernel Density Estimators Jose Leiva-Murillo and Antonio Artés-Rodríguez Article (2012)

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APRIL: Active Preference Learning-Based Reinforcement Learning Riad Akrour, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)

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Automatic removal of ocular artifacts using adaptive filtering and Independent Component Analysis for EEG data C. Guerrero-Mosquera and Angel Navia-Vazquez Article Item availablity restricted. (2012)

Bayesian Cointegration Chris Bracegirdle and David Barber Article Item not available online. (2012)

Blind Correction of Optical Aberrations CJ Schuler, M Hirsch, S Harmeling and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)

Blind Retrospective Motion Correction of MR Images A Loktyushin, H Nickisch, R Pohmann and Bernhard Schölkopf Article Item not available online. (2012)

Bringing Representativeness into Social Media Monitoring and Analysis Michael Kaschesky, Pawel Sobkowicz, José Miguel Hernánez Lobato, Guillaume Bouchard, Cedric Archambeau, Nicolas Scharioth, Robert Manchin, Adrian Gschwend and Reinhard Riedl Article Item availablity restricted. (2012)

Clustering: Science or Art? Ulrike v. Luxburg, Bob Williamson and Isabelle Guyon Article (2012)

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

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

Combination of Recursive Least p-Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise Angel Navia-Vazquez and J. Arenas-García Article Item availablity restricted. (2012)

Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems Stefano Albrecht and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2012)

Data-Driven Information Retrieval in Heterogeneous Collections of Transcriptomics Data Links SIM2s to Malignant Pleural Mesothelioma Jose Caldas, Nils Gehlenborg, Eeva Kettunen, Ali Faisal, Mikko Rönty, Andrew Nicholson, Sakari Knuutila, Alvis Brazma and Samuel Kaski Article Item not available online. (2012)

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Discriminative feature fusion for image classification Basura Fernando, Elisa Fromont, Damien Muselet and Marc Sebban Conference or Workshop Item Item not available online. (2012)

EEG signal processing for epilepsy disease C. Guerrero-Mosquera, A. Malanda-Trigueros and Angel Navia-Vazquez Book Section Item availablity restricted. (2012)

Efficient sparse coding in early sensory processing: lessons from signal recovery András Lorincz, Zsolt Palotai and Gabor Szirtes Article Item availablity restricted. (2012)

Evaluating acute medical admissions through emergency departments in Hong Kong: can one adjust for case-mix variation? T H Rainer, Peter Sollich, T Piotrowski, A C C Coolen, B Cheng and C A Graham Article Item not available online. (2012)

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Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari Conference or Workshop Item Item not available online. (2012)

Foundations of rule learning Nada Lavrac, Johannes Furnkranz and Dragan Gamberger Monograph Item not available online. (2012)

Gaussian Processes for time-marked time-series data John P. Cunningham, Zoubin Ghahramani and Carl Edward Rasmussen Conference or Workshop Item (2012)

GLIDE: GPU-Based Linear Regression for Detection of Epistasis T Kam-Thong, C-A Azencott, L Cayton, B Pütz, A Altmann, N Karbalai, PG Sämann, Bernhard Schölkopf, B Müller-Myhsok and KM Borgwardt Article Item not available online. (2012)

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Group-structured and independent subspace based dictionary learning Zoltan Szabo Thesis (2012)

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ICML2011 Unsupervised and Transfer Learning Workshop Daniel Silver, Isabelle Guyon, Graham Taylor, Vincent Lemaire and Gideon Dror Article (2012)

Identifying differentially expressed transcripts from RNA-seq data with biological variation Peter Glaus, Antti Honkela and Magnus Rattray Article Item availablity restricted. (2012)

Influence Maximization in Continuous Time Diffusion Networks M Gomez Rodriguez and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)

Information-geometric approach to inferring causal directions D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, B Steudel and Bernhard Schölkopf Article Item not available online. (2012)

Informative Priors for Markov Blanket Discovery Adam Pocock, Mikel Lujan and Gavin Brown Conference or Workshop Item (2012)

Inverse Random Under Sampling for Class Imbalance Problem and its Application to Multilabel Classification Muhammad Tahir, Josef Kittler and Fei Yan Article Item not available online. (2012)

Investigating the Neural Basis of Brain-Computer Interface (BCI)-based Stroke Rehabilitation T Meyer, J Peters, TO Zander, D Brötz, SR Soekadar, Bernhard Schölkopf and M Grosse-Wentrup Conference or Workshop Item Item not available online. (2012)

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks stephane peters, Yann Jacob, Ludovic Denoyer and Patrick Gallinari Article Item not available online. (2012)

Kernel methods in medical imaging G Charpiat, M Hofmann and Bernhard Schölkopf Book Section Item not available online. (2012)

Large Margin Filterin Rémi Flamary, Devis Tuia, Gustavo Camps Valls and Alain Rakotomamonjy Article Item not available online. (2012)

Latent space segmentation for mobile gait analysis Aris Valtazanos, DK Arvind and Subramanian Ramamoorthy Article Item not available online. (2012)

Learn-and-Optimize: a Parameter Tuning Framework for Evolutionary AI Planning Matthias Brendel and Marc Schoenauer Conference or Workshop Item (2012)

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification. Moustapha Cisse, Thierry Artieres and Patrick Gallinari Conference or Workshop Item Item not available online. (2012)

Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)

Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs Shai Shalev-Shwartz and Aharon Birnbaum Conference or Workshop Item (2012)

Learning the experts for online sequence prediction Amir Globerson, Shai Shalev-Shwartz and Aharon Birnbaum Article Item not available online. (2012)

Locating Changes in Highly Dependent Data with Unknown Number of Change Points Azadeh Khaleghi and Daniil Ryabko Conference or Workshop Item Item not available online. (2012)

Matching Pursuit With Stochastic Selection Thomas Peel, Valentin Emiya, Liva Ralaivola and Sandrine Anthoine Conference or Workshop Item (2012)

Matrix Pseudoinversion for Image Neural Processing. Rossella Cancelliere, Mario Gai, Thierry Artieres and Patrick Gallinari Conference or Workshop Item Item not available online. (2012)

Modelling a biological system : network creation by triplet extraction from biological literature Nada Lavrac, Dragana Miljković, Vid Podpečan, Miha Grčar, Kristina Gruden, Tjaša Stare, Marko Petek and Igor Mozetič Article Item not available online. (2012)

MR-based PET Attenuation Correction for PET/MR Imaging I Bezrukov, F Mantlik, H Schmidt, Bernhard Schölkopf and BJ Pichler Article Item not available online. (2012)

Multiclass Learning Approaches: A Theoretical Comparison with Implications Amit Daniely, Sivan Sabato and Shai Shalev-Shwartz Conference or Workshop Item (2012)

Near-Optimal Algorithms for Online Matrix Prediction Elad Hazan, Satyen Kale and Shai Shalev-Shwartz Conference or Workshop Item (2012)

On Causal and Anticausal Learning Bernhard Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang and J Mooij Conference or Workshop Item Item not available online. (2012)

On the computational complexity of stochastic controller optimization in POMDPs Nikos Vlassis, Michael Littman and David Barber Article Item not available online. (2012)

On the Empirical Estimation of Integral Probability Metrics B Sriperumbudur, K Fukumizu, A Gretton, Bernhard Schölkopf and G Lanckriet Article Item not available online. (2012)

Online motion planning for multi-robot interaction using composable reachable sets. Aris Valtazanos and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2012)

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies Julian McAuley, Arnau Ramisa and Tiberio Caetano Article (2012)

Pilot, Rollout and Monte Carlo Tree Search Methods for Combinatorial Optimization Thomas Runarsson, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)

Point Process Modelling of the Afghan War Diary Andrew Zammit Mangion, Michael Dewar, visakan kadirkamanathan and Guido Sanguinetti Article Item not available online. (2012)

Preference-Based Policy Learning Riad Akrour, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)

Prescription-Drug-Related Risk in Driving: Comparing Conventional and Lasso Shrinkage Logistic Regressions M. Avalos, N. Duran Adroher, E. Lagarde, F. Thiessard, Yves Grandvalet, B. Contrand and L. Orriols Article Item not available online. (2012)

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Quantifying accuracy of learning via sample width Martin Anthony and Joel Ratsaby Conference or Workshop Item Item not available online. (2012)

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Reducing statistical time-series problems to binary classification Daniil Ryabko and Jérémie Mary Conference or Workshop Item Item not available online. (2012)

Regression for sets of polynomial equations F J Kiraly, Paul Buenau, J S Müller, D A J Blythe, Frank Meinecke and Klaus-Robert Müller Conference or Workshop Item (2012)

Regret Bounds for Restless Markov Bandits Ronald Ortner, Daniil Ryabko, Remi Munos and Peter Auer Conference or Workshop Item Item not available online. (2012)

Replica theory for learning curves for Gaussian processes on random graphs Matthew Urry and Peter Sollich Article (2012)

Revisiting the Effect of History on Learning Performance: The Problem of the Demanding Lord George Giannakopoulos and Themis Palpanas Article Item not available online. (2012)

Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy Ilya Loschilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)

Semantic subgroup discovery and cross-context linking for microarray data analysis Nada Lavrac, Igor Mozetič, Vid Podpečan, Petka Kralj Novak, Helena Motaln, Marko Petek, Krstina Gruden, Hannu Toivonen and Kimmo Kulovesi Article Item not available online. (2012)

Semi-Supervised Domain Adaptation with Copulas D Lopez-Paz, JM Hernandez-Lobato and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)

Semi-Supervised Domain Adaptation with Non-Parametric Copulas David Lopez-Paz, Jose Miguel Hernandez-Lobato and Bernhard Schölkopf Article (2012)

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

Sequential approaches for learning datum-wise sparse representations Marion Weller, Ludovic Denoyer, Philippe Preux and Patrick Gallinari Article Item not available online. (2012)

Similarity Learning for Provably Accurate Sparse Linear Classification. Aurélien Bellet, Amaury Habrard and Marc Sebban Conference or Workshop Item (2012)

Sparsity with sign-coherent groups of variables via the cooperative-Lasso Julien Chiquet, Yves Grandvalet and Camille Charbonnier Article (2012)

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SRF : A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise Katsiarina MIrylenka, George Giannakopoulos and Themis Palpanas Conference or Workshop Item Item not available online. (2012)

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Elmar Rückert and Gerhard Neumann Article Item not available online. (2012)

Submodular Inference of Diffusion Networks from Multiple Trees M Gomez Rodriguez and Bernhard Schölkopf Article Item not available online. (2012)

The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions Sylvain Gelly, Marc Schoenauer, Michele Sebag, Olivier Teytaud, L. Kocsis, David Silver and Csaba Szepesvari Article Item not available online. (2012)

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The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning Marius Kloft and Gilles Blanchard Book Section (2012)

The representer theorem for Hilbert spaces: a necessary and sufficient condition F Dinuzzo and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2012)

The web of things Marko Grobelnik and Carolina Fortuna Conference or Workshop Item Item not available online. (2012)

Towards common-sense reasoning via conditional simulation: Legacies of Turing in Artificial Intelligence Cameron Freer, Daniel Roy and Joshua Tenenbaum Book Section Item not available online. (2012)

Tree-structured CRF Models for Interactive Image Labeling Thomas Mensink, Jakob Verbeek and Gabriela Csurka Article Item not available online. (2012)

Using More Data to Speed-up Training Time Shai Shalev-Shwartz, Ohad Shamir and Eran Tromer Conference or Workshop Item (2012)

Variational Estimation in Spatiotemporal Systems from Continuous and Point-Process Observations Andrew Zammit Mangion, Guido Sanguinetti and visakan kadirkamanathan Article Item not available online. (2012)

Forecasting financial time series with Twitter Ramon Xuriguera, Marta Arias and Argimiro Arratia Conference or Workshop Item Item not available online. (19 December 2011)

Bayesian model of transcript differential expression in RNA-seq data with biological variation Peter Glaus, Antti Honkela and Magnus Rattray Conference or Workshop Item Item availablity restricted. (17 December 2011)

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

Efficient Prediction for Tree Markov Random Fields in a Streaming Model Mark Herbster, Stephen Pasteris and Fabio Vitale Conference or Workshop Item (17 December 2011)

Exact Bayesian Pairwise Preference Learning and Inference on the Uniform Convex Polytope Scott Sanner and Ehsan Abbasnejad Conference or Workshop Item (17 December 2011)

Learning Item Trees for Probabilistic Modeling of Implicit Feedback Andriy Mnih and Yee Whye Teh Conference or Workshop Item (17 December 2011)

Sparse Gaussian Processes for Learning Preferences Ehsan Abbasnejad, Edwin Bonilla and Scott Sanner Conference or Workshop Item (17 December 2011)

A Deep Neural Network for Acoustic-Articulatory Speech Inversion Benigno Uria, Steve Renals and Korin Richmond Conference or Workshop Item (16 December 2011)

Bayesian Active Learning for Gaussian Process Classification Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani (alternate email address test) and Mate Lengyel Conference or Workshop Item Item not available online. (16 December 2011)

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

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

Improving Topic Coherence with Regularized Topic Models D Newman, Edwin Bonilla and Wray Buntine Conference or Workshop Item (14 December 2011)

Discrepancy Principle for Statistical Inverse Problems with Application to Conjugate Gradient Iteration Gilles Blanchard and Peter Mathé Article (12 December 2011)

Model selection for the l2-SVM by following the regularization path Rémi Bonidal, Samy Tindel and Yann Guermeur Article Item availablity restricted. (12 December 2011)

Periodic finite state controllers for efficient POMDP and DEC-POMDP planning Joni Pajarinen and Jaakko Peltonen Conference or Workshop Item Item not available online. (12 December 2011)

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

Multi-task Learning with Task Relations Zhao Xu and Kristian Kersting Conference or Workshop Item Item not available online. (11 December 2011)

Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts Matthias Hein and Simon Setzer Article (10 December 2011)

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

Maximum Entropy Modelling for Assessing Results on Real-Valued Data Kleanthis-Nikolaos Kontonasios, Jilles Vreeken and Tijl De Bie Conference or Workshop Item Item not available online. (10 December 2011)

Fisher Linear Semi-discriminant Analysis for Speaker Diarization Theodoros Giannakopoulos and Sergios Petridis Article Item not available online. (09 December 2011)

Machine Learning Methods for Visual Object Detection Sibt ul Hussain Thesis Item not available online. (07 December 2011)

Submodular Multi-Label Learning James Petterson and Tiberio Caetano Conference or Workshop Item (05 December 2011)

Adaptive hedge Tim Erven, van, Steven de Rooij, Wouter Koolen and Peter Grünwald Article Item not available online. (December 2011)

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

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

Analysis of Textual Variation by Latent Tree Structures Teemu Roos and Yuan Zou Conference or Workshop Item (December 2011)

Approximate Inference of the Bandwidth in Multivariate Kernel Density Estimation Maurizio Filippone and Guido Sanguinetti Article Item not available online. (December 2011)

Bayesian Multitask Classification with Gaussian Process Priors Grigorios Skolidis and Guido Sanguinetti Article (December 2011)

Bayesian Multitask Classification with Gaussian Process Priors Grigorios Skolidis and Guido Sanguinetti Article Item not available online. (December 2011)

Cutting Plane Methods in Machine Learning Vojtech Franc, Sören Sonnenburg and Tomas Werner Book Section Item not available online. (December 2011)

Efﬁcient inference in matrix-variate Gaussian models with iid observation noise Oliver Stegle, Christoph Lippert, Joris Mooij, Neil Lawrence and Karsten Borgwardt Conference or Workshop Item Item not available online. (December 2011)

Inference in continuous-time change-point models Florian Stimberg, Andreas Ruttor, Manfred Opper and Guido Sanguinetti Conference or Workshop Item (December 2011)

Insights from Classifying Visual Concepts with Multiple Kernel Learning Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Mueller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller and Motoaki Kawanabe Article (December 2011)

Interesting Multi-Relational Patterns Eirini Spyropoulou and Tijl De Bie Conference or Workshop Item Item availablity restricted. (December 2011)

Learning eigenvectors for free Wouter Koolen, Wojciech Kotlowski and Manfred Warmuth Article Item not available online. (December 2011)

Multi-Task Learning with Task Relations Zhao Xu and Kristian Kersting Conference or Workshop Item Item not available online. (December 2011)

Neuronal adaptation for sampling-based probabilistic inference in perceptual bistability David Reichert, Peggy Series and Amos Storkey Article Item not available online. (December 2011)

Non positive SVM Gaëlle Loosli and Stéphane Canu Conference or Workshop Item (December 2011)

On fast approximate submodular minimization Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (December 2011)

PAC-Bayesian Analysis of Contextual Bandits Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor and Ronald Ortner Conference or Workshop Item (December 2011)

Quasi-Newton Methods for Markov Chain Monte Carlo Yichuan Zhang and Charles Sutton Conference or Workshop Item Item not available online. (December 2011)

Reduced-size kernel models for nonlinear hybrid system identification Van Luong Le, Gérard Bloch and fabien lauer Article Item not available online. (December 2011)

Selecting the State-Representation in Reinforcement Learning Odalric-Ambrym Maillard, Daniil Ryabko and Rémi Munos Article (December 2011)

Sparse Domain Adaptation in a Good Similarity-Based Projection Space Emilie Morvant, Amaury Habrard and Stéphane Ayache Conference or Workshop Item (December 2011)

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

Sparse recovery with Brownian sensing Alexandra Carpentier, Odalric-Ambrym Maillard and Rémi Munos Article (December 2011)

Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning Michalis Titsias and Miguel Lazaro-Gredilla Conference or Workshop Item (December 2011)

Thinning measurement models and questionnaire design Ricardo Silva Conference or Workshop Item Item not available online. (December 2011)

Unsupervised Object Ranking Using Not Even Weak experts Antoine Cornuéjols and Christine Martin Conference or Workshop Item (14 November 2011)

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

Trading value and information in MDPs Jonathan Rubin, Ohad Shamir and Naftali Tishby Book Section (11 November 2011)

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

Multi-Task Drug Bioactivity Classification with Graph Labeling Ensembles Hongyu Su and Juho Rousu Conference or Workshop Item Item not available online. (04 November 2011)

Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance Stefanie Liebe, Gregor Hörzer, Nikos Logothetis and Gregor Rainer Article Item not available online. (03 November 2011)

An Information Theoretic Approach to Gender Feature Selection Zhihong Zhang, Edwin Hancock and Jing Wu Conference or Workshop Item (November 2011)

Approximate Gaussian Integration using Expectation Propagation John Cunningham, Philipp Hennig and Simon Lacoste-Julien Article Item not available online. (November 2011)

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

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

CLOP: Confident Local Optimization for Noisy Black-Box Parameter Tuning Rémi Coulom Conference or Workshop Item Item not available online. (November 2011)

Detecting F-formations as Dominant Sets Hayley Hung and B Krose Conference or Workshop Item (November 2011)

Domain Adaptation with Good Edit Similarities: A Sparse Way to Deal with Scaling and Rotation Problems in Image Classification Amaury Habrard, Jean-Philippe Peyrache and Marc Sebban Conference or Workshop Item Item not available online. (November 2011)

Efficient Object Detection using Cascades of Nearest Convex Model Classifiers Hakan Cevikalp and William Triggs Conference or Workshop Item Item not available online. (November 2011)

From Learning Models of Natural Image Patches to Whole Image Restoration Daniel Zoran and Yair Weiss Conference or Workshop Item (November 2011)

Information Theoretic Methods for Learning Generative Models for Relational Structures Edwin Hancock Conference or Workshop Item (November 2011)

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

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

Multitask Learning Using Regularized Multiple Kernel Learning Mehmet Gönen, Melih Kandemir and Samuel Kaski Conference or Workshop Item Item not available online. (November 2011)

Predicting Concept Changes using a Committee of Experts Ghazal Jaber, Antoine Cornuéjols and Philippe Tarroux Conference or Workshop Item (November 2011)

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

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

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

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

Using the H-Divergence to Prune Probabilistic Automata Marc Bernard, Baptiste Jeudy, Jean-Philippe Peyrache, Marc Sebban and Franck Thollard Conference or Workshop Item Item not available online. (November 2011)

A Software System for the Microbial Source Tracking Problem David Sànchez-Mendoza, Lluís Belanche and Anicet Blanch Conference or Workshop Item Item availablity restricted. (21 October 2011)

Discriminative Mixtures of Sparse Latent Fields for Stress Testing Felix Agakov, Peter Orchard and Amos Storkey Conference or Workshop Item Item not available online. (15 October 2011)

Efficient Sequential Clamping for Lifted Message Passing Fabian Hadiji, Babak Ahmadi and Kristian Kersting Conference or Workshop Item (04 October 2011)

Voxel-Wise Quantification of Myocardial Perfusion by Cardiac Magnetic Resonance: Feasibility and Methods Comparison Zoran Cvetkovic, Niloufar Zarinabad, Amedeo Chiribiri, Gilion / L / T / F Hautvast, Masaki Ishida, Andreas Schuster, Philip / G Batchelor and Eike Nagel Article Item not available online. (04 October 2011)

Apprentissage Séquentiel : Bandits, Statistique et Renforcement. Odalric-Ambrym Maillard Thesis (03 October 2011)

Combining initial segments of lists Manfred Warmuth, Wouter Koolen and David Helmbold Article Item not available online. (October 2011)

Exploring the space of coding matrix classifiers for hierarchical multiclass text categorization Janez Brank Conference or Workshop Item Item not available online. (October 2011)

Give Me a Sign : A Person Independent Interactive Sign Dictionary Helen Cooper, Eng-Jon Ong and Richard Bowden Monograph Item not available online. (October 2011)

Lifted coordinate descent for learning with trace-norm regularization Miroslav Dudik, Zaid Harchaoui and Jerome Malick Conference or Workshop Item Item availablity restricted. (October 2011)

Lipschitz bandits without the Lipschitz constant Sébastien Gerchinovitz, Gilles Stoltz and Jia Yuan Yu Conference or Workshop Item (October 2011)

Lp-Norm Multiple Kernel Learning Marius Kloft Thesis (October 2011)

Modelling Inference and Learning in Biological Networks of Neurons Dejan Pecevski Thesis Item not available online. (October 2011)

Neuroevolutionary Reinforcement Learning for Generalized Control of Simulated Helicopters Rogier Koppejan and Shimon Whiteson Article (October 2011)

The Stationary Subspace Analysis toolbox Jan Saputra Müller, Paul Buenau, Frank Meinecke, Franz Király and Klaus-Robert Müller Article (October 2011)

The Stationary Subspace Analysis Toolbox J S Müller, Paul Buenau, Frank Meinecke, F J Kiraly and Klaus-Robert Müller Article (October 2011)

TractoR: Magnetic resonance imaging and tractography with R. J.D. Clayden, S. Munoz Maniega, A.J. Storkey, M.D. King, M.E. Bastin, and C.A. Clark. TractoR: Magnetic resonance imaging and tractography with R. Journal of Statistical Software. In Press., 2011. John Clayden, Susana Munoz Maniega, Amos Storkey, Martin King, Mark Bastin and Chris Clark Article Item not available online. (October 2011)

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma Mehmet Gönen, Aydın Ulaş, Peter Schüffler, Umberto Castellani and Vittorio Murino Conference or Workshop Item Item not available online. (24 September 2011)

Adaptive Scheduling on Power-Aware Managed Data-Centers using Machine Learning Josep Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item (21 September 2011)

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

Large scale topic modeling made practical Bjarne Ørum Wahlgreen and Lars Kai Hansen Article Item availablity restricted. (18 September 2011)

Large scale topic modeling made practical Bjarne Ørum Wahlgreen and Lars Kai Hansen Conference or Workshop Item (18 September 2011)

Unsupervised domain adaptation based on text relatedness George Petasis Conference or Workshop Item (14 September 2011)

A Theoretical Framework for Morphological Computation Wolfgang Maass Conference or Workshop Item Item not available online. (13 September 2011)

Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation Mirwaes Wahabzada and Kristian Kersting Conference or Workshop Item Item not available online. (05 September 2011)

Sparse Kernel-SARSA(lambda) with an Eligibility Trace M Robards, Peter Sunehag, Scott Sanner and B Marthi Conference or Workshop Item (05 September 2011)

Visual In- terpretation of Kernel-Based Prediction Models Katja Hansen, David Baehrens, Timon Schröter, Matthias Rupp and Klaus-Robert Müller Article Item not available online. (05 September 2011)

FaST linear mixed models for genome-wide association studies Christoph Lippert, Jennifer Listgarten, Ying Liu, Carl M. Kadie, Robert I. Davidson and David Heckerman Article Item not available online. (04 September 2011)

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

Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process Changyou Chen, L Du and Wray Buntine Conference or Workshop Item (03 September 2011)

A time series kernel for action recognition Adrien Gaidon, Zaid Harchaoui and Cordelia Schmid Conference or Workshop Item Item availablity restricted. (September 2011)

A Variational Approach for the Online Dual Estimation of Spatiotemporal Systems Governed by the IDE Andrew Zammit Mangion, Guido Sanguinetti and visakan kadirkamanathan Conference or Workshop Item Item not available online. (September 2011)

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

Analyzing human gait and posture by combining feature selection and kernel methods Albert Samà, Cecilio Angulo, Diego Pardo, Andreu Català and Joan Cabestany Article Item not available online. (September 2011)

Comparing probabilistic models for melodic sequences. Athina Spiliopoulou and Amos Storkey Article Item not available online. (September 2011)

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

Facial Expression Detection using Filtered Local Binary Pattern Features with ECOC Classifiers and Platt Scaling. r s smith and Terry Windeatt Article Item not available online. (September 2011)

Factored shapes and appearances for parts-based object understanding Ali Eslami and Christopher Williams Conference or Workshop Item (September 2011)

From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation Franceso Escolano and Edwin Hancock Conference or Workshop Item Item not available online. (September 2011)

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

Nowcasting Events from the Social Web with Statistical Learning Vasileios Lampos and Nello Cristianini Article (September 2011)

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

Segmentation and shape classification of nuclei in DAPI images V Snell, William Christmas and Josef Kittler Conference or Workshop Item (September 2011)

Similarity-Based Pattern Recognition First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings Marcello Pelillo and Edwin Hancock Book Item not available online. (September 2011)

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

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

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

The HasGP user manual Sean Holden Monograph (September 2011)

An Artificial Experimenter for Automated Response Characterisation Chris Lovell Thesis (31 August 2011)

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

Non-trivial two-action partial-monitoring games with sublinear regrets are bandits András Antos, Gabor Bartok and Csaba Szepesvari Other Item not available online. (24 August 2011)

Bonaparte: Application of new software for missing persons program C.J. van Dongen, K. Slooten, M. Slagter, willem Burgers and Wim Wiegerinck Article Item not available online. (23 August 2011)

Taxonomy-Informed Latent Factor Models for Implicit Feedback Andriy Mnih Conference or Workshop Item (21 August 2011)

Non-intrusive Estimation of QoS Degradation Impact on E-commerce User Satisfaction Nicolas Poggi, David Carrera, Ricard Gavaldà and Eduard Ayguadé Conference or Workshop Item Item not available online. (20 August 2011)

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

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

Multi-task Learning via Non-sparse Multiple Kernel Learning Wojciech Samek, Alexander Binder and Motoaki Kawanabe Conference or Workshop Item Item not available online. (August 2011)

Reference time in SpikeProp Andre Gruning and Ioana Sporea Conference or Workshop Item Item not available online. (August 2011)

Thai Paragraph Shortening Based on Binary Classiﬁcation Model Kitsuchart Pasupa and Ponrudee Netisopakul Conference or Workshop Item (August 2011)

Spherical Harmonics Coefficients for Ligand-Based Virtual Screening of Cyclooxygenase Inhibitors Quan Wang, Kerstin Birod, Carlo Angioni, Sabine Grösch, Tim Geppert, Petra Schneider, Matthias Rupp and Gisbert Schneider Article (27 July 2011)

Supervised Learning of Gaussian Mixture Models for Visual Vocabulary Generation Basura Fernando, Elke Rupp, Damien Muselet and Marc Sebban Article (27 July 2011)

Sparse Canonical Correlation Analysis for Biomarker Discovery : A Case Study in Tuberculosis Juho Rousu, Daniel D. Agranoff, John Shawe-Taylor and Delmiro Fernandez-Reyes Conference or Workshop Item Item availablity restricted. (20 July 2011)

Efficient planning for factored infinite-horizon DEC-POMDPs Joni Pajarinen and Jaakko Peltonen Conference or Workshop Item Item not available online. (16 July 2011)

Online dictionary learning with group structure inducing norms Zoltan Szabo, Barnabas Poczos and András Lorincz Conference or Workshop Item (02 July 2011)

Approximation Bounds for Inference using Cooperative Cut Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (July 2011)

Automating the Calibration of a Neonatal Condition Monitoring System Christopher Williams and Ioan Stanculescu Article (July 2011)

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

From Empirical Bayes to Leaving-One-Out Jesús Andrés-Ferrer and H. Ney Conference or Workshop Item Item not available online. (July 2011)

Mixability is Bayes Risk Curvature Relative to Log Loss Tim van Erven, Mark Reid and Bob Williamson Conference or Workshop Item (July 2011)

Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter Babak Ahmadi, Kristian Kersting and Scott Sanner Conference or Workshop Item Item not available online. (July 2011)

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

Online submodular minimization for combinatorial structures Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (July 2011)

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

Weakly supervised learning of interactions between humans and objects Alessandro Prest, Cordelia Schmid and Vittorio Ferrari Article (July 2011)

Robust sparse recovery with non-negativity constraints Matthias Hein Article (27 June 2011)

Stochastic Low-Rank Kernel Learning for Regression Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola and Hervé Glotin Conference or Workshop Item Item not available online. (27 June 2011)

Modélisation de documents combinant texte et image : application à la catégorisation et à la recherche d'information multimédia Christophe Moulin Thesis Item not available online. (22 June 2011)

Semi-Supervised Learning for WLAN Positioning Teemu Pulkkinen, Teemu Roos and Petri Myllymäki Conference or Workshop Item Item not available online. (17 June 2011)

Variational Inference for Policy Search in Changing Situations Gerhard Neumann Conference or Workshop Item (17 June 2011)

Vocal Folds Analysis using Global Energy Tracking Gal Elidan Article Item not available online. (16 June 2011)

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

The Grouped Author-Topic Model for Unsupervised Entity Resolution Andrew Dai and Amos Storkey Conference or Workshop Item (13 June 2011)

Transformation Equivariant Boltzmann Machines Jyri Kivinen and Christopher Williams Conference or Workshop Item Item availablity restricted. (13 June 2011)

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

Kernel-based speaker verication using spatiotemporal lip information C Chan, B Goswami, Josef Kittler and William Christmas Conference or Workshop Item Item not available online. (June 2011)

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

A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences Odalric-Ambrym Maillard, Rémi Munos and Gilles Stoltz Conference or Workshop Item (June 2011)

A hierarchical generative model of recurrent object-based attention in the visual cortex. David Reichert, Peggy Series and Amos Storkey Article Item not available online. (June 2011)

Actom Sequence Models for Efficient Action Detection Adrien Gaidon, Zaid Harchaoui and Schmid Cordelia Conference or Workshop Item Item availablity restricted. (June 2011)

Bayesian CCA via Group Sparsity Seppo Virtanen, Arto Klami and Samuel Kaski Conference or Workshop Item (June 2011)

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

Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines KyungHyun Cho, Tapani Raiko and Alexander Ilin Conference or Workshop Item Item not available online. (June 2011)

Explicit Length Modelling for Statistical Machine Translation Joan Albert Silvestre-Cerda, Jesús Andrés-Ferrer and Jorge Civera Conference or Workshop Item Item not available online. (June 2011)

Exploiting Best-Match Equations for Efficient Reinforcement Learning Harm van Seijen, Shimon Whiteson, Hado van Hasselt and Marco Wiering Article (June 2011)

Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences. Odalric-Ambrym Maillard, Rémi Munos and Gilles Stoltz Article (June 2011)

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

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

How to Explain Individual Classification Decisions D Baehrens, Timon Schröter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen and Klaus-Robert Müller Article Item not available online. (June 2011)

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines KyungHyun Cho, Alexander Ilin and Tapani Raiko Conference or Workshop Item Item not available online. (June 2011)

Inverse Problems and High-Dimensional Estimation Book Item not available online. (June 2011)

Learning structured prediction models for interactive image labeling Thomas Mensink, Jakob Verbeek and Gabriela Csurka Conference or Workshop Item (June 2011)

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

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

Multi-label cooperative cuts Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item (June 2011)

Multiclass classification with bandit feedback using adaptive regularization Koby Crammer and Claudio Gentile Conference or Workshop Item (June 2011)

Robustness analyses for repeated mobility surveys in outdoor advertising Dirk Hecker, Christine Körner and Michael May Conference or Workshop Item Item not available online. (June 2011)

Submodularity beyond submodular energies: coupling edges in graph cuts Stefanie Jegelka and Jeff Bilmes Conference or Workshop Item Item not available online. (June 2011)

The grouped author-topic model for unsupervised entity resolution. Andrew Dai and Amos Storkey Article Item not available online. (June 2011)

Variational Heteroscedastic Gaussian Process Regression Miguel Lazaro-Gredilla and Michalis Titsias Conference or Workshop Item (June 2011)

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

Analysis of Neural Data and Models of Neural Networks related to Working Memory Gregor Hörzer Thesis Item not available online. (27 May 2011)

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

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

Modelling and Predicting News Popularity Elena Hensinger, Ilias Flaounas and Nello Cristianini Article Item not available online. (12 May 2011)

Gradient-based boosting for statistical relational learning: The relational dependency network case Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann and Jude Shavlik Article Item not available online. (10 May 2011)

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

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

Speaker authentication using video-based lip information B Goswami, C Chan, Josef Kittler and William Christmas Conference or Workshop Item Item not available online. (May 2011)

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

A study of Morphological Computation by using Probabilistic Inference for Motor Planning Elmar Rückert and Gerhard Neumann Conference or Workshop Item (15 April 2011)

Spectral Clustering on a Budget Ohad Shamir and Naftali Tishby Article (11 April 2011)

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

A post-processing strategy for SVM learning from unbalanced data Haydemar Núñez, Luis Gonzalez-Abril and Cecilio Angulo Conference or Workshop Item (April 2011)

A supervised strategy for deep kernel machine Florian Yger, Maxime Berar, Gilles Gasso and Alain Rakotomamonjy Conference or Workshop Item (April 2011)

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

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

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

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

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

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

Hierarchical Gaussian Process Models of Gene Expression and Transcriptional Regulation Antti Honkela, James Hensman, Neil Lawrence and Magnus Rattray Conference or Workshop Item Item not available online. (April 2011)

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

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

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

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

Using Mathematical Programming to Solve Factored Markov Decision Processes with Imprecise Probabilities K Delgado Valdivia, L de Barros, F Cozman and Scott Sanner Article (April 2011)

Generalised Wishart Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (18 March 2011)

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

Learning temporal relationships between hidden causes in networks of spiking neurons David Kappel Thesis Item not available online. (17 March 2011)

A hybrid supervised-unsupervised visual vocabulary algorithm for concept recognition Alexander Binder, Wojciech Wojcikiewicz, Christina Mueller and Motoaki Kawanabe Book Section Item not available online. (15 March 2011)

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

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

Descriptive matrix factorization for sustainability: Adopting the principle of opposites Christian Thurau, Kristian Kersting, Mirwaes Wahabzada and Christian Bauckhage Article Item not available online. (02 March 2011)

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

Two-locus association mapping in subquadratic runtime Panagiotis Achlioptas, Bernhard Schölkopf and Karsten Borgwardt Article Item not available online. (01 March 2011)

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

A Kernel Approach to Tractable Bayesian Nonparametrics Ferenc Huszar and Simon Lacoste-Julien Article Item not available online. (March 2011)

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

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies Yann Guermeur and E. Monfrini Article Item availablity restricted. (March 2011)

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

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search M Suigyama, M Yamada, Paul Buenau, T Suzuki, T Kanamori and Motoaki Kawanabe Article Item not available online. (March 2011)

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

Information, Divergence and Risk for Binary Experiments Mark Reid and Bob Williamson Article (March 2011)

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

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

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

Spectra of Modular and Small-World Matrices Reimer Kuehn and Jort M van Mourik Article (08 February 2011)

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

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

Perception beyond the here and now Albrecht Schmidt, Marc Langheinrich and Kristian Kersting Article Item not available online. (01 February 2011)

Dimensionality Reduction for Data Visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (February 2011)

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

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

Estimating composite functions by model selection Lucien Birgé and Yannick Baraud Article Item not available online. (February 2011)

Graph Characterization via Ihara Coefficients Peng Ren, Richard Wilson and Edwin Hancock Article Item not available online. (February 2011)

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

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

Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1. Malte Rasch, Klaus Schuch, Nikos Logothetis and Wolfgang Maass Article Item not available online. (February 2011)

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

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

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

Fast On-line Statistical Learning on a GPGPU F Xiao, E McCreath and Christfried Webers Conference or Workshop Item (19 January 2011)

Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs Tony Kam-Thong, Benno Puetz, Nazanin Karbalai, Bertram Müller-Myhsok and Karsten Borgwardt Article Item not available online. (15 January 2011)

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

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

A Monte-Carlo AIXI Approximation J Veness, K Ng, Marcus Hutter, William Uther and D Silva Article (January 2011)

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

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

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

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

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

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

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An Alternating Direction Method for Dual MAP LP Relaxation Ofer Meshi and Amir Globerson Article Item not available online. (2011)

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Characterizing Graphs Using Approximate von Neumann Entropy Lin Han, Edwin Hancock and Richard Wilson Conference or Workshop Item Item not available online. (2011)

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Computation and Learning in Biological Networks of Neurons: Theoretical Analysis, Computer Simulations, and Analysis of Experimental Data Stefan Klampfl Thesis Item not available online. (2011)

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Cross-species translation of multi-way biomarkers Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic and Samuel Kaski Conference or Workshop Item Item not available online. (2011)

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Detecting similar high-dimensional responses to experimental factors between human and model organism Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic and Samuel Kaski Conference or Workshop Item (2011)

Detection of correlations Ery Arias-Castro, Sébastien Bubeck and Gábor Lugosi Article Item not available online. (2011)

Determining the Cause of Negative Dissimilarity Eigenvalues Weiping Xu, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2011)

Dimensionality reduction by minimizing nearest-neighbor classification error Mauricio Villegas and Roberto Paredes Article Item not available online. (2011)

Dimensionality Reduction for Data Visualization Samuel Kaski and Jaakko Peltonen Article Item not available online. (2011)

Dimensionality Reduction For EEG Classification Using Mutual Information And SVM C. Guerrero-Mosquera, M. Verleysen and Angel Navia-Vazquez Conference or Workshop Item Item availablity restricted. (2011)

Discriminative Bernoulli Mixture Models for Handwritten Digit Recognition Adrià Giménez Pastor, Jesús Andrés-Ferrer, Alfons Juan and Nicolás Serrano Conference or Workshop Item Item not available online. (2011)

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Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach Xavier Glorot, Antoine Bordes and Yoshua Bengio Conference or Workshop Item (2011)

Driving me Around the Bend: Learning to Drive from Visual Gist Nicolas Pugeault and Richard Bowden Conference or Workshop Item (2011)

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Efficient object detection Alain Lehmann Thesis Item not available online. (2011)

Embedded feature ranking for ensemble MLP classifiers Terry Windeatt, r Duangsoithong and r s smith Article Item not available online. (2011)

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

Exact Bayesian Pairwise Preference Learning and Inference on the Uniform Convex Polytope Scott Sanner and Ehsan Abbasnejad Conference or Workshop Item (2011)

Exposing real world information for the web of things Alexandra Moraru, Dunja Mladenić, Matevž Vučnik, Maria Porcius, Carolina Fortuna and Mihael Mohorčič Conference or Workshop Item Item not available online. (2011)

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Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks Vinayak Rao and Yee Whye Teh Conference or Workshop Item Item not available online. (2011)

Finite-Sample Analysis of Lasso-TD Mohammad Ghavamzadeh, Alessandro Lazaric, Remi Munos and Matthew Hoffman Conference or Workshop Item (2011)

Gaussian Process Modulated Renewal Processes Vinayak Rao and Yee Whye Teh Conference or Workshop Item Item not available online. (2011)

Gene Regulatory Network and Spatial Computation: A Case Study Sylvain Cussat-Blanc, Nicolas Bredeche, Hervé Luga, Yves Duthen and Michele Sebag Conference or Workshop Item (2011)

Generalization bounds for logical analysis of data Martin Anthony Article Item not available online. (2011)

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Good Similarity Learning for Structured Data Aurélien Bellet, Amaury Habrard and Marc Sebban Conference or Workshop Item Item not available online. (2011)

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

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Hierarchical generative biclustering for MicroRNA Expression Analysis Jose Caldas and Samuel Kaski Article Item not available online. (2011)

Hierarchical Model for Ordinal Matrix Factorization Ulrich Paquet, Blaise Thomson and Ole Winther Article Item availablity restricted. (2011)

High Density Lipoprotein structural changes and drug response in lipidomic profiles following the long-term fenofibrate therapy in the FIELD substudy Laxman Yetukuri, Ilkka Huopaniemi, Artturi Koivuniemi, Marianna Maranghi, Anne Hiukka, Heli Nygren, Samuel Kaski, Marja-Riitta Taskinen, Ilpo Vattulainen, Matti Jauhiainen and Matej Oresic Article Item not available online. (2011)

High Frequency Statistical Arbitrage via the Optimal Thermal Causal Path CVL Raju Monograph Item not available online. (2011)

High Order Structural Matching Using Dominant Cluster Analysis Peng Ren, Richard Wilson and Edwin Hancock Conference or Workshop Item Item not available online. (2011)

How biased are maximum entropy models? Jakob Macke, Iain Murray and Peter E Latham Article (2011)

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

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Intent inference and strategic escape in multi-robot games with physical limitations and uncertainty Aris Valtazanos and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2011)

Intrinsic plagiarism detection using character trigram distance scores Mike Kestemont, Kim Luyckx and Walter Daelemans Conference or Workshop Item (2011)

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L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI Siamac Fazli, Marton Danoczy, Juerg Schelldorfer and Klaus-Robert Müller Article Item availablity restricted. (2011)

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

Learning spatial relationships between objects. Benjamin Rosman and Subramanian Ramamoorthy Article Item not available online. (2011)

Learning Structured Embeddings of Knowledge Bases Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio Conference or Workshop Item Item not available online. (2011)

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

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Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation Wojciech Kotlowski and Peter Grunwald Conference or Workshop Item Item not available online. (2011)

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

Metabolic regulation in progression to autoimmune diabetes Marko Sysi-Aho, Andrey Ermolov, Peddinti Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus and Matej Oresic Article Item not available online. (2011)

Micropollutant removal via genetic algorithms and high throughput experimentation Angels Cano Odena, M. Spilliers, T. Dedroog, Kurt De Grave, Jan Ramon and Ivo Vankelecom Article Item not available online. (2011)

Minimising added classification error using walsh coefficients Terry Windeatt and c zor Article Item not available online. (2011)

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

Modelling Genetic Variations using Fragmentation-Coagulation Processes Yee Whye Teh, Charles Blundell and Lloyd Elliott Conference or Workshop Item Item not available online. (2011)

MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods Matthias Hofmann, Ilja Bezrukov, Frederic Mantlik, Philip Aschoff, Florian Steinke, Thomas Beyer, Bernd J. Pichler and Bernhard Schölkopf Article Item not available online. (2011)

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Multi-Task Drug Bioactivity Classification with Graph Labeling Ensembles Hongyu Su and Juho Rousu Conference or Workshop Item (2011)

Multi-task Learning via Non-sparse Multiple Kernel Learning Wojciech Samek, Alexander Binder and Motoaki Kawanabe Book Section Item not available online. (2011)

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

Multiclass Learnability and the ERM principle Amit Daniely, Sivan Sabato, Shai Ben-David and Shai Shalev-Shwartz Conference or Workshop Item (2011)

Multimodal Interactive Handwritten Text Transcription Verónica Romero, Alejandro Hector Tosselli and Enrique Vidal Book Item not available online. (2011)

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

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

Multiview Semi-Supervised Learning for Ranking Multilingual Documents Nicolas Usunier, Massih Amini and Cyril Goutte Conference or Workshop Item (2011)

NOAM: news outlets analysis and monitoring system Ilias Flaounas, omar ali, Marco Turchi, Tristan Snowsill, florent nicart, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (2011)

Non-conjugate variational message passing for multinomial and binary regression David Knowles and Thomas P. Minka Conference or Workshop Item (2011)

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

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

On the relation between realizable and non-realizable cases of the sequence prediction problem. Daniil Ryabko Article Item not available online. (2011)

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

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

Online Learning via Dynamic Reranking for Computer Assisted Translation Pascual Martínez-Gómez, Germán Sanchis-Trilles and Francisco Casacuberta Conference or Workshop Item Item not available online. (2011)

Parallel Semiparametric Support Vector Machines R. Díaz-Morales, H. Molina-Bulla and Angel Navia-Vazquez Conference or Workshop Item Item availablity restricted. (2011)

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

Predictive Active Set Selection Methods for Gaussian Processes Ricardo Henao and Ole Winther Article Item availablity restricted. (2011)

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

Probabilistic Event Calculus based on Markov Logic Networks. Anastasios Skarlatidis, George Paliouras, George Vouros and Alexander Artikis Conference or Workshop Item Item availablity restricted. (2011)

Probabilistic Learning and Optimization Applied to Quantitative Finance CVL Raju Thesis Item not available online. (2011)

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Refining causality: who copied from whom? Tristan Snowsill, Nick Fyson, Tijl De Bie and Nello Cristianini Book Section (2011)

Regularized Least Squares Temporal Difference learning with nested L2 and L1 penalization Matthew Hoffman, Alessandro Lazaric, Mohammad Ghavamzadeh and Remi Munos Conference or Workshop Item Item not available online. (2011)

Reinforcement learning through global stochastic search in N-MDPs Matteo Leonetti, Luca Iocchi and Subramanian Ramamoorthy Conference or Workshop Item Item not available online. (2011)

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

Removing noise from astronomical images using a pixel-specific noise model H.C. Burger, Bernhard Schölkopf and Stefan Harmeling Conference or Workshop Item Item not available online. (2011)

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

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Robust cutpoints in the logical analysis of data Martin Anthony and Joel Ratsaby Article Item not available online. (2011)

Semi-supervised Kernel Canonical Correlation Analysis with Application to Human fMRI Matthew Blaschko, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert and Arthur Gretton Article (2011)

Semi-supervised learning for WLAN positioning Teemu Pulkkinen, Teemu Roos and Petri Myllymäki Conference or Workshop Item (2011)

Similarity-Based Pattern Analysis and Recognition -- SIMBAD 2011 Book Item not available online. (2011)

Sparse Gaussian Processes for Learning Preferences Ehsan Abbasnejad, Edwin Bonilla and Scott Sanner Conference or Workshop Item (2011)

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

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

Speedy Q-Learning Mohammad Gheshlaghi Azar, Remi Munos, Mohammad Ghavamzadeh and Hilbert Kappen Conference or Workshop Item (2011)

Spelling It Out: Real-Time ASL Fingerspelling Recognition Nicolas Pugeault and Richard Bowden Conference or Workshop Item (2011)

Statistical Modelling for Ship Propulsion Efficiency JP Petersen, DJ Jacobsen and Ole Winther Article Item availablity restricted. (2011)

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

StructRank: A New Approach for Ligand-Based Virtual Screening Fabian Rathke, Katja Hansen, Ulf Brefeld and Klaus-Robert Müller Article Item not available online. (2011)

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

Supermodeling by combining imperfect models.Procedia Computer Science F.M. Selten, G.S. Duane, Wim Wiegerinck, N. Keenlyside and J. Kurths Conference or Workshop Item Item not available online. (2011)

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

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

Switched Latent Force Models for Movement Segmentation Mauricio A. Alvarez, Jan Peters, Bernhard Schölkopf and Neil D. Lawrence Conference or Workshop Item (2011)

Systematic Use of Computational Methods Allows Stratifying Treatment Responders in Glioblastoma Multiforme Riku Louhimo, Viljami Aittomäki, Ali Faisal, Marko Laakso, Ping Chen, Kristian Ovaska, Erkka Valo, Vladimir Rogojin, Samuel Kaski and Sampsa Hautaniemi Conference or Workshop Item (2011)

Temporal Link Prediction by Integrating Content and Structure Information Sheng Gao, Ludovic Denoyer and Patrick Gallinari Conference or Workshop Item Item not available online. (2011)

The 2009 Knowledge Discovery and Data Mining Competition (KDD Cup 2009) Book (2011)

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

The effect of author set size and data size in authorship attribution Kim Luyckx and Walter Daelemans Article (2011)

The effect of patient positioning aids on PET quantification in PET/MR imaging Frederic Mantlik, Matthias Hofmann, Matthias K. Werner, Alexander Sauter, Jürgen Kupferschläger, Bernhard Schölkopf, Bernd J. Pichler and Thomas Beyer Article Item not available online. (2011)

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Unsupervised and transfer learning challenge Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor and David Aha Conference or Workshop Item Item availablity restricted. (2011)

Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Remi Munos and Peter Auer Conference or Workshop Item (2011)

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

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

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

A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining Jagan Varadarajan, Rémi Emonet and Jean-Marc Odobez Conference or Workshop Item (December 2010)

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

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Copula Bayesian Networks Gal Elidan Article (December 2010)

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

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distribution-dependent PAC-Bayes priors Francois Laviolette, Guy Lever and John Shawe-Taylor Conference or Workshop Item Item not available online. (October 2010)

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

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

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

Multitask SVM learning for Remote Sensing Data Classification Jose Leiva-Murillo, Luis Gómez-Chova and Gustavo Camps-Valls Conference or Workshop Item (20 September 2010)

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Finite-Sample Analysis of Least-Squares Policy Iteration Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos Monograph Item not available online. (September 2010)

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

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

Autonomous Experimentation: Active Learning for Enzyme Response Characterisation Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Article Item not available online. (28 August 2010)

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

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

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

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

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

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

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

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EP for Efficient Stochastic Control with Obstacles Thomas Mensink, Jakob Verbeek and Bert Kappen Conference or Workshop Item (August 2010)

Erratum: SGDQN is Less Careful than Expected Antoine Bordes, Leon Bottou, Patrick Gallinari, Jonathan Chang and S-Alex Smith Article Item not available online. (August 2010)

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Fusion Moves for Markov Random Field Optimization Victor Lempitsky, Carsten Rother, Stefan Roth and Andrew Blake Article (August 2010)

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

Trans Media Relevance Feedback for Image Autoannotation Thomas Mensink, Jakob Verbeek and Gabriela Csurka Conference or Workshop Item (August 2010)

The ECIR 2010 large dcale hierarchical classification workshop Aris Kosmopoulos, Eric Gaussier, George Paliouras and Sujeevan Aseervatham Article (30 July 2010)

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Informed Lifting for Message-Passing Kristian Kersting, Youssef El Massaoudi, Fabian Hadiji and Babak Ahmadi Conference or Workshop Item Item not available online. (11 July 2010)

Symbolic Dynamic Programming for First-order POMDPs Scott Sanner and Kristian Kersting Conference or Workshop Item Item not available online. (10 July 2010)

Gaussian process structural equation models with latent variables Ricardo Silva and Robert B. Gramacy Article (08 July 2010)

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. (02 July 2010)

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes Liva Ralaivola, Marie Szafranski and Guillaume Stempfel Article (01 July 2010)

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Bayesian exponential family projections for coupled data sources Arto Klami, Seppo Virtanen and Samuel Kaski Conference or Workshop Item (July 2010)

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

Design and Analysis of the WCCI 2010 Active Learning Challenge Isabelle Guyon, Gavin Cawley, Gideon Dror and Vincent Lemaire Conference or Workshop Item Item availablity restricted. (July 2010)

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

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

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The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson, Chong Wang, Katherine Heller and David Blei Conference or Workshop Item (July 2010)

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

Geometric characterization and clustering of graphs using heat kernel embeddings Bai Xiao, Edwin Hancock and Richard Wilson Article Item not available online. (28 June 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)

Characterising Enzymes for Information Processing: Towards an Artificial Experimenter Chris Lovell, Gareth Jones, Steve Gunn and Klaus-Peter Zauner Conference or Workshop Item (26 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)

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

Active learning with heteroscedastic noise András Antos, Varun Grover and Csaba Szepesvari Article Item availablity restricted. (17 June 2010)

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

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

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)

Multivariate multi-way analysis of multi-source data Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic and Samuel Kaski Article Item not available online. (07 June 2010)

Overlapping Mixtures of Gaussian Processes for the Data Association Problem Miguel Lazaro-Gredilla, Steven Van Vaerenbergh and Neil Lawrence Monograph (03 June 2010)

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

Analysis of a Classification-based Policy Iteration Algorithm Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos Conference or Workshop Item (June 2010)

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

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

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)

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

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

Finite-Sample Analysis of LSTD Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos 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)

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

Hedging structured concepts Wouter Koolen, Manfred Warmuth and Jyrki Kivinen Conference or Workshop Item Item not available online. (June 2010)

Improving web-image search results using query-relative classifiers Josip Krapac, Moray Allan, Jakob Verbeek and Frederic Jurie Conference or Workshop Item (June 2010)

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

Manifold embedding for shape analysis Bai Xiao, Edwin Hancock and Hang Yu Article Item not available online. (June 2010)

Multimodal semi-supervised learning for image classification Matthieu Guillaumin, Jakob Verbeek and Cordelia Schmid 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 Conference or Workshop Item (June 2010)

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

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

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

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

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

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

The SHOGUN Machine Learning Toolbox Sören Sonnenburg, Gunnar Raetsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl and Vojtech Franc Article (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)

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

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

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

Your dream corpus is already there Stasinos Konstantopoulos Conference or Workshop Item (17 May 2010)

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

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

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

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

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

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

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

Learning an Expert from Human Annotations in Statistical Machine Translation: the Case of Out-of-Vocabulary Words Wilker Aziz, Marc Dymetman, Shachar Mirkin, Lucia Specia, Nicola Cancedda and Ido Dagan Conference or Workshop Item (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)

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

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

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

The smallest set of constraints that explains the data: a randomization approach Jefrey Lijffijt, Panagiotis Papapetrou, Niko Vuokko and Kai Puolamäki Monograph (May 2010)

Trajectory Prediction in Cluttered Voxel Environments Nikolay Jetchev and Marc Toussaint Article (May 2010)

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

Bayesian Inference in Queueing Networks Charles Sutton and Michael I Jordan Article (30 April 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)

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

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

A probabilistic approach to Integer Least Squares and MIMO decoding Yosi Keller and amir leshem Article Item not available online. (04 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)

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

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

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

Graph Kernels SVN Vishwanathan, Nicol N. Schraudolph, Risi Kondor and Karsten Borgwardt Article Item not available online. (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)

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

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

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

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)

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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)

A Co-Classification Approach to Learning from Multilingual Corpora Massih Amini and Cyril Goutte Article (February 2010)

Active learning on trees and graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale and Giovanni Zappella Conference or Workshop Item Item not available online. (February 2010)

Bayesian Gaussian Process Latent Variable Model Michalis Titsias and Neil Lawrence Conference or Workshop Item (February 2010)

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

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

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

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

Grammatical Inference and Natural Language Acquisition Leonor Becerra Book Section Item not available online. (February 2010)

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

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

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

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

Security Analysis of Online Centroid Anomaly Detection Marius Kloft and Pavel Laskov Article (February 2010)

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

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

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

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A comparison of pruning criteria for probability trees Daan Fierens, Jan Ramon, Hendrik Blockeel and Maurice Bruynooghe Article Item not available online. (January 2010)

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

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

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

Fast error estimation for efficient support vector machine growing Angel Navia-Vazquez and Roberto Diaz-Morales Article Item not available online. (January 2010)

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

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

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

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

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

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

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

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

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

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

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

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

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Analysis of large two-mode networks : extended abstract Vladimir Batagelj and Andrej Mrvar 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)

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

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

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

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

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

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

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

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Causality Ricardo Silva Book Section Item not available online. (2010)

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

Causation and Prediction Challenge Book (2010)

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

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

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

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

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

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

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

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

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

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

DDAG K-TIPCAC: an ensemble method for protein subcellular localization Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi and Giorgio Valentini Conference or Workshop Item Item not available online. (2010)

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

Deterministic Bayesian inference for the p* model Haakon Austad and Nial Friel Article (2010)

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

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

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

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

EEG feature selection using mutual information and support vector machine: A comparative analysis C. Guerrero-Mosquera, M. Verleysen and Angel Navia-Vazquez Conference or Workshop Item Item availablity restricted. (2010)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Grasping with vision descriptors and motor primitives Oliver Kroemer, Renaud Detry, Justus Piater and Jan Peters Conference or Workshop Item Item not available online. (2010)

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

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

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

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

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

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

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

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

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference Marc Toussaint, Nils Plath, Tobias Lang and Nikolay Jetchev Conference or Workshop Item (2010)

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

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

Iterative Learning of Simple External Contextual Languages Leonor Becerra, John Case, Sanjay Jain and Frank Stephan Article Item not available online. (2010)

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

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

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

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

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences Antoine Bordes, Nicolas Usunier and Jason Weston Conference or Workshop Item (2010)

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

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

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

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

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

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

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

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

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

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

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

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

Learning Weights for Codebook in Image Classification and Retrieval Hongping Cai, Fei Yan and Krystian Mikolajczyk Conference or Workshop Item Item not available online. (2010)

Linguistic Phylogenetic Inference by PAM-like Matrices Nello Cristianini and antonella delmestri Article (2010)

Logic-Based Event Recognition Alexander Artikis, Anastasios Skarlatidis, Franccois Portet and George Paliouras Article Item availablity restricted. (2010)

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

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

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

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

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

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

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

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

Measuring latent causal structure Ricardo Silva Book Section (2010)

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

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

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

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

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

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

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

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

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

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

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

NEURAL IMAGE RESTORATION FOR DECODING 1-D BARCODES USING COMMON CAMERA PHONES Alessandro Zamberletti, Ignazio Gallo, Moreno Carullo and Elisabetta Binaghi Conference or Workshop Item (2010)

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

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

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

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

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

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

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

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

On causal discovery from time series data using FCI Doris Entner and Patrik Hoyer Conference or Workshop Item Item not available online. (2010)

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

On Integrating Data Mining into Business Processes Dennis Wegener and Stefan Rüping Conference or Workshop Item Item not available online. (2010)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and Edoardo Airoldi Article Item not available online. (2010)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Telling cause from effect based on high-dimensional observations Dominik Janzing, Patrik Hoyer and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2010)

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

The application of structured learning in natural language processing Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Wavelet Kernel Learning Florian Yger and Alain Rakotomamonjy Article Item not available online. (2010)

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

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

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

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

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

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

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

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

Adaptive Sequential Bayesian Change Point Detection Ryan Turner, Yunus Saatci and Carl Edward Rasmussen Conference or Workshop Item (12 December 2009)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A geometric proof of calibration Shie Mannor and Gilles Stoltz Article (December 2009)

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

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

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

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

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

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

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)

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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)

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

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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)

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)

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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)