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

Bayesian Reinforcement Learning with Gaussian Process Temporal Difference Methods Yaki Engel, Shie Mannor and Ron Meir Monograph Item availablity restricted. (August 2008)

Monte Carlo estimation of minimax regret with an application to MDL model selection Teemu Roos Conference or Workshop Item (05 May 2008)

Multi-Classification by Categorical Features via Clustering. Yevgeny Seldin and Naftali Tishby Conference or Workshop Item (May 2008)

Dimensionality reduction for clustered data sets Guido Sanguinetti Article (March 2008)

Discovering multi–level structures in bio-molecular data through the Bernstein inequality Alberto Bertoni and Giorgio Valentini Article (March 2008)

Simple integrative preprocessing preserves what is shared in data sources Abhishek Tripathi, Arto Klami and Samuel Kaski Article Item not available online. (21 February 2008)

Combining Expert Advice Efficiently Wouter Koolen and Steven de Rooij Conference or Workshop Item Item not available online. (20 February 2008)

Letting Stones Go Unturned Peter Bentley Article (06 February 2008)

Bayesian network structure learning using factorized NML universal models Teemu Roos, Tomi Silander, Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (01 February 2008)

Self-consistent multiple testing procedures Gilles Blanchard and Étienne Roquain Monograph Item availablity restricted. (February 2008)

The Desktop Doctor Peter Bentley Article (14 January 2008)

Continuous Time Particle Filtering for fMRI Lawrence Murray and Amos Storkey Article Item not available online. (January 2008)

Discriminative and generative machine learning approaches towards robust phoneme classification Jibran Yousafzai, Matthew Ager, Zoran Cvetkovic and Peter Sollich Conference or Workshop Item (January 2008)

Modelling motion primitives and their timing in biologically executed movements Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2008)

A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution Pedro Delicado and M. Goria Article Item not available online. (2008)

Causal graphical models with latent variables : learning and inference Philippe Leray, Stijn Meganck, Sam Maes and Bernard Manderick Book Section Item not available online. (2008)

Contour-Propagation Algorithms for Semi-Automated Reconstruction of Neural Processes J.H. Macke, N. Maack, R. Gupta, W. Denk, B. Schölkopf and A. Borst Article Item availablity restricted. (2008)

Local Quantum Computing for Fast Probably MAP Inference in Graphical Models Charles Fox, Iead Rezek and Stephen J. Roberts Conference or Workshop Item (2008)

Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item (2008)

NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks Petri Kontkanen, Hannes Wettig and Petri Myllymäki Article (2008)

On the performance of clustering in Hilbert spaces Gerard Biau, Luc Devroye and Gábor Lugosi Article Item not available online. (2008)

Principal Component Analysis for Sparse High-Dimensional Data Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (2008)

Ranking and empirical minimization of U-statistics Stephan Clemencon, Gábor Lugosi and Nicolas Vayatis Article Item not available online. (2008)

Variational inference for Markov jump processes Manfred Opper and Guido Sanguinetti Article (2008)

Editorial: Information theoretic methods for bioinformatics Jorma Rissanen, Peter Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos and Juho Rousu Article Item availablity restricted. (24 December 2007)

Resampling and Model selection Sylvain Arlot Thesis (13 December 2007)

Positional Oligomer Importance Matrices Alexander Zien, Sören Sonnenburg, Petra Philips and Gunnar Raetsch Conference or Workshop Item Item not available online. (08 December 2007)

An Automated Combination of Kernels for Predicting Protein Subcellular Localization Alexander Zien and Cheng Soon Ong Conference or Workshop Item Item not available online. (07 December 2007)

Automatic Detection and Banning of Content Stealing Bots for E-commerce Nicolas Poggi, Josep Lluis Berral, Toni Moreno, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item availablity restricted. (07 December 2007)

Efficient Bounds for the softmax Function, Applications to Inference in Hybrid Models Guillaume Bouchard Conference or Workshop Item (07 December 2007)

Non-asymptotic resampling-based confidence regions and multiple tests in high dimension Sylvain Arlot, Gilles Blanchard and Etienne Roquain Article (05 December 2007)

Graph-based methods for manifold learning Jean-Yves Audibert Conference or Workshop Item Item not available online. (December 2007)

Near-optimal Regret Bounds for Reinforcement Learning Peter Auer, Thomas Jaksch and Ronald Ortner Other (December 2007)

Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons Lars Büsing and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (December 2007)

Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity Robert Legenstein, Dejan Pecevski and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (December 2007)

Toward Manifold-Adaptive Learning Amir massoud Farahmand, Csaba Szepesvari and Jean-Yves Audibert Conference or Workshop Item Item not available online. (December 2007)

Variational Inference for Markov Jump Processes Manfred Opper and Guido Sanguinetti Conference or Workshop Item (December 2007)

A Game-Theoretic Characterization of Updating Sets of Probabilities Peter Grünwald and Joe Halpern Other Item not available online. (20 November 2007)

On higher-order perceptron algorithms Claudio Gentile, Cristian Brotto and Fabio Vitale Conference or Workshop Item (04 November 2007)

Catching up faster in Bayesian model selection and model averaging Tim Erven, van, Peter Grünwald and Steven de Rooij Conference or Workshop Item (02 November 2007)

V-fold penalization: an alternative to V-fold cross-validation Sylvain Arlot Book Section (01 November 2007)

Caveats on Bayesian Derivations of NML Probabilities: A Comment on Karabatsos and Walker (2006) Peter Grünwald and Daniel Navarro Other Item not available online. (November 2007)

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Article (November 2007)

Segmenting multi-attribute sequences using dynamic Bayesian networks Robert Gwadera, Janne Toivola and Jaakko Hollmen Conference or Workshop Item Item availablity restricted. (28 October 2007)

3D Hand Tracking in a Stochastic Approximation Setting Desmond Chik, Jochen Trumpf and Nicol Schraudolph Book Section (20 October 2007)

Modelling the effects of colony age on the foraging behaviour of harvester ants Tom Diethe and Peter Bentley Book Section (12 October 2007)

Fast NML Computation for Naive Bayes Models Tommi Mononen and Petri Myllymäki Conference or Workshop Item (02 October 2007)

Theoretical Foundations for Large-Margin Kernel-Based Continuous Speech Recognition Joseph Keshet Monograph (01 October 2007)

A Hilbert Space Embedding for Distributions Alex Smola, Arthur Gretton, Le Song and Bernhard Schölkopf Conference or Workshop Item Item not available online. (October 2007)

Calculating the Normalized Maximum Likelihood Distribution for Bayesian Forests Hannes Wettig, Petri Kontkanen and Petri Myllymäki Article (October 2007)

Convex Multi-Task Feature Learning Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil Article (October 2007)

Euclidean Embedding of Co-occurrence Data Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby Article (October 2007)

Learning Object Representations for Visual Object Class Recognition Marcin Marszalek, Cordelia Schmid, Hedi Harzallah and Joost van de Weijer Conference or Workshop Item (October 2007)

Learning to Integrate Data from Different Sources and Tasks Andreas Argyriou Thesis (October 2007)

Load estimation and control using learned dynamics models Giorgos Petkos and Sethu Vijayakumar Conference or Workshop Item (October 2007)

Methodology for Long-term Prediction of Time Series Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji and Amaury Lendasse Article Item availablity restricted. (October 2007)

Bias-Variance tradeoff in Hybrid Generative-Discriminative models Guillaume Bouchard Article (29 September 2007)

A Phase Transition-Based Perspective on Multiple Instance Kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (27 September 2007)

Advantages of Using Feature Selection Techniques on Steganalysis Schemes Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula Book Section Item availablity restricted. (21 September 2007)

Gaussian fitting based FDA for chemometrics Tuomas Karna and Amaury Lendasse Book Section Item availablity restricted. (21 September 2007)

Non-parametric Residual Variance Estimation in Supervised Learning Elia Liitiäinen, Amaury Lendasse and Francesco Corona Book Section Item availablity restricted. (21 September 2007)

ppls: penalized partial least squares Nicole Krämer and Anne-Laure Boulesteix Other Item not available online. (21 September 2007)

Algebraic and spectral methods for network anomaly detection. Given at: NATO school on Mining Massive Datasets for Security Italy, Sep. 2007 Naftali Tishby Conference or Workshop Item (05 September 2007)

Large Margin Algorithms for Discriminative Continuous Speech Recognition Joseph Keshet Thesis (01 September 2007)

A linear-time algorithm for computing the multinomial stochastic complexity Petri Kontkanen and Petri Myllymäki Article Item not available online. (September 2007)

Aggregation to compete the best prediction function in a finite set Jean-Yves Audibert Conference or Workshop Item Item not available online. (September 2007)

Discriminative Sequence Labeling by Z-score Optimization elisa ricci, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (September 2007)

Distributed Categorizer for Large Category System Eric Gaussier and Francois Pacull Conference or Workshop Item Item availablity restricted. (September 2007)

Gap-free bounds for multi-armed stochastic bandit. Anatoli Juditsky, Alexander Nazin, Alexandre Tsybakov and Nicolas Vayatis Conference or Workshop Item (September 2007)

Principal Component Analysis for Large Scale Problems with Lots of Missing Values Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (September 2007)

Proceedings of the IEEE machine learning for signal processing XVII Book Item not available online. (September 2007)

Spectral Algorithms for Supervised Learning Laura Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De vito and Alessandro Verri Article Item not available online. (September 2007)

A Markov Clustering Method for Analyzing Movement Trajectories Jacob Goldberger, Keren Erez and Moshe Abeles Conference or Workshop Item (28 August 2007)

Fast semi-supervised discriminative component analysis Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item (28 August 2007)

Discovering the truth by conducting experiments Wouter Koolen Conference or Workshop Item Item not available online. (24 August 2007)

Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks Antti Sorjamaa and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (12 August 2007)

Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex Danko Nikolić, Stefan Häusler, Wolf Singer and Wolfgang Maass Article Item not available online. (05 August 2007)

A Spectral Regularization Framework for Multi-Task Structure Learning Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil and Yiming Ying Conference or Workshop Item (August 2007)

Higher Order Statistics in Play-out Analysis Tapani Raiko Conference or Workshop Item (August 2007)

Learning to align: a statistical approach elisa ricci, Tijl De Bie and Nello Cristianini Conference or Workshop Item Item not available online. (August 2007)

On the generalization error of fixed combinations of classifiers Martin Anthony Article Item not available online. (August 2007)

Simultaneous analysis of Lasso and Dantzig selector. Peter Bickel, Yaac'ov Ritov and Alexandre Tsybakov Article (August 2007)

Time series prediction competition: The CATS benchmark Amaury Lendasse, Erkki Oja, Olli Simula and Michel Verleysen Article Item availablity restricted. (August 2007)

Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions Elia Liitiäinen and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (August 2007)

Régression Logistique Parcimonieuse Romain Herault and Yves Grandvalet Conference or Workshop Item Item availablity restricted. (04 July 2007)

Estimating human endogeneous retrovirus activities in various tissues with a hidden Markov mixture model Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski Conference or Workshop Item Item not available online. (July 2007)

Gender-Sensitive Automated Negotiators Ron Katz and Sarit Kraus Conference or Workshop Item (July 2007)

Gene selection via the BAHSIC family of algorithms Le Song, Justin Bedo, karsten borgwardt, Arthur Gretton and Alex Smola Article Item not available online. (July 2007)

Robustness of VOR and OKR adaptation under kinematics and dynamics transformations Adrian Haith and Sethu Vijayakumar Conference or Workshop Item (July 2007)

Learning from Relevant Tasks Only Samuel Kaski and Jaakko Peltonen Conference or Workshop Item Item not available online. (29 June 2007)

Web Customer Modeling for Automated Session Prioritization on High Traffic Sites Nicolas Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item not available online. (25 June 2007)

The Information Bottleneck Revisited or How to Choose a Good Distortion Measure Peter Harremoes and Naftali Tishby Article (24 June 2007)

Sparse Probabilistic Classifiers Romain Herault and Yves Grandvalet Conference or Workshop Item (20 June 2007)

Resampling-based confidence regions and multiple tests for a correlated random vector Sylvain Arlot, Gilles Blanchard and Etienne Roquain Book Section (12 June 2007)

Exploiting the Prior in the PAC-Bayes Bound Emilio Parrado-Hernandez, John Shawe-Taylor and Amiran Ambroladze Monograph Item availablity restricted. (08 June 2007)

Fast Semi-supervised Discriminative Component Analysis Jaakko Peltonen, Jacob Goldberger and Samuel Kaski Conference or Workshop Item Item not available online. (06 June 2007)

Improved Rates for the Stochastic Continuum-Armed Bandit Problem Peter Auer, Ronald Ortner and Csaba Szepesvari Book Section Item not available online. (June 2007)

Accurate Object Localization with Shape Masks Marcin Marszalek and Cordelia Schmid Conference or Workshop Item (June 2007)

Adaptive Learning via the Balancing Principle Ernesto De Vito, Sergei Pereverzev and Lorenzo Rosasco Other Item not available online. (June 2007)

Convergence of the graph Laplacian: application to dimensionality estimation and image segmentation Jean-Yves Audibert Conference or Workshop Item Item not available online. (June 2007)

Fast learning rates for plug-in classifiers under the margin condition Jean-Yves Audibert Conference or Workshop Item Item not available online. (June 2007)

Graph Laplacians and their convergence on random neighborhood graphs Matthias Hein, Jean-Yves Audibert and Ulrike Von Luxburg Article Item not available online. (June 2007)

Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection Nicole Krämer and Mikio L. Braun Conference or Workshop Item (June 2007)

Multiclass Multiple Kernel Learning Alexander Zien and Cheng Soon Ong Conference or Workshop Item (June 2007)

Semantic Hierarchies for Visual Object Recognition Marcin Marszalek and Cordelia Schmid Conference or Workshop Item (June 2007)

Semi-Markov Models for Sequence Segmentation Qinfeng Shi, Yasemin Altun, Alex Smola and S V N Vishwanathan Book Section (June 2007)

Strategies for prediction under imperfect monitoring Gábor Lugosi, Gilles Stoltz and Shie Mannor Conference or Workshop Item (June 2007)

Transductive Support Vector Machines for Structured Variables Alexander Zien, Ulf Brefeld and Tobias Scheffer Conference or Workshop Item (June 2007)

Statistical and Information-Theoretic Methods for Data Analysis Teemu Roos Thesis (30 May 2007)

Switching between predictors with an application in density estimation Tim Erven, van, Steven de Rooij and Peter Grünwald Conference or Workshop Item (24 May 2007)

Modeling the effects of varying data quality on trend detection in environmental monitoring Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens and Jaakko Hollmen Article Item not available online. (23 May 2007)

Bounding the k-family-wise error rate using resampling methods Tijl De Bie and John Shawe-Taylor Conference or Workshop Item (15 May 2007)

Policy-based autonomous bidding for overload management in eCommerce websites Toni Moreno, Nicolas Poggi, Josep Lluis Berral, Ricard Gavaldà and Jordi Torres Conference or Workshop Item Item availablity restricted. (14 May 2007)

Methods for estimating human endogenous retrovirus activities from EST databases Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski Article Item not available online. (03 May 2007)

Using Image Stimuli to Drive fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (May 2007)

Learning with Malicious Noise Peter Auer Other Item availablity restricted. (30 April 2007)

Combining PAC-Bayesian and generic chaining bounds Jean-Yves Audibert and Olivier Bousquet Article Item not available online. (20 April 2007)

State-of-the-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition Joos Vandewalle, Johan Suykens, Bart De Moor and Amaury Lendasse Conference or Workshop Item Item availablity restricted. (13 April 2007)

Discriminative Keyword Spotting Joseph Keshet, David Grangier and Samy Bengio Article Item availablity restricted. (11 April 2007)

Data Integration for Classification Problems Employing Gaussian Process Priors Mark Girolami and Mingjun Zhong Conference or Workshop Item (April 2007)

Introduction to the special issue on echo state networks and liquid state machines. Herbert Jäger, Wolfgang Maass and Jose Principe Article Item availablity restricted. (April 2007)

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm R. Jenssen, T. Eltoft, M. Girolami, D. Erdogmus: Jenssen Robert, Eltoft T, Girolami Mark and Erdogmus D Conference or Workshop Item (April 2007)

Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation Gavin Cawley, Nicola Talbot and Mark Girolami Conference or Workshop Item Item not available online. (April 2007)

Incorporating Prior Knowledge on Features into Learning Eyal Krupka and Naftali Tishby Article (21 March 2007)

An Overview on the Shrinkage Properties of Partial Least Squares Regression Nicole Krämer Article Item not available online. (09 March 2007)

Gene Expression Profiles in Asbestos-exposed Epithelial and Mesothelial Lung Cell Lines Penny Nymark, Pamela M. Lindholm, Mikko V. Korpela, Leo Lahti, Salla Ruosaari, Samuel Kaski, Jaakko Hollmen, Sisko Anttila, Vuokko L. Kinnula and Sakari Knuutila Article Item not available online. (01 March 2007)

Causal feature selection Isabelle Guyon, Constantin Aliferis and Andre Elisseeff Monograph (March 2007)

Estimation of the law of random shifts deformation Ismael Castillo and Jean-Michel Loubes Article (March 2007)

Margin based Transductive Graph Cuts using Linear Programming Kristiaan Pelckmans, John Shawe-Taylor, Johan Suykens and Bart De Moor Conference or Workshop Item (March 2007)

MDL Histogram Density Estimation Petri Kontkanen and Petri Myllymäki Conference or Workshop Item (March 2007)

Optimal Dyadic Decision Trees Gilles Blanchard, Christin Schaefer, Yves Rozenholc and Klaus-Robert Müller Article (March 2007)

Penalized Partial Least Squares with Applications to B-Splines Transformations and Functional Data Nicole Krämer, Anne-Laure Boulesteix and Gerhard Tutz Article (March 2007)

Statistical Properties of Kernel Principal Component Analysis Gilles Blanchard, Olivier Bousquet and Laurent Zwald Article (March 2007)

Analysis of High-Dimensional Data with Partial Least Squares and Boosting Nicole Krämer Thesis (21 February 2007)

Proceedings of ESTSP 2007 Book Item not available online. (07 February 2007)

Conditional NML universal models Jorma Rissanen and Teemu Roos Conference or Workshop Item (30 January 2007)

Linear Dependence of Stationary Distributions in Ergodic Markov Decision Processes Ronald Ortner Article Item not available online. (25 January 2007)

Model selection by resampling penalization Sylvain Arlot Article (19 January 2007)

Spiking neurons can learn to solve information bottleneck problems and to extract independent components Stefan Klampfl, Robert Legenstein and Wolfgang Maass Article Item availablity restricted. (08 January 2007)

On-line Learning Peter Auer Other Item availablity restricted. (03 January 2007)

A hidden Markov model for estimating retrovirus activities from expressed sequence databases Merja Oja, Jaakko Peltonen and Samuel Kaski Conference or Workshop Item Item not available online. (January 2007)

A primitive based generative model to infer timing information in unpartitioned handwriting data Ben Williams, Marc Toussaint and Amos Storkey Article Item not available online. (January 2007)

Building Blocks for Variational Bayesian Learning of Latent Variable Models Tapani Raiko, Harri Valpola, Markus Harva and Juha Karhunen Article (January 2007)

Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model Narayanan Edakunni, Stefan Schaal and Sethu Vijayakumar Conference or Workshop Item (January 2007)

Suboptimal behaviour of Bayes and MDL in classification under misspecification Peter Grünwald and John Langford Article Item not available online. (2007)

A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation Theodoros Evgeniou, Massimiliano Pontil and Olivier Toubia Article Item not available online. (2007)

A Dependence Maximization View of Clustering Le Song, Alex Smola, Arthur Gretton and karsten borgwardt Conference or Workshop Item Item not available online. (2007)

A grid environment for high-throughput proteomics. mario cannataro, annalisa barla, roberto flor, a gallo, giuseppe jurman, stefano merler, silvano paoli, g tradigo, p veltri and cesare furlanello Article Item not available online. (2007)

A Kernel Method for the Two-Sample-Problem Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (2007)

A Kernel Test of Statistical Dependence Arthur Gretton, kenji fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (2007)

A kernel-based causal learning algorithm X. Sun, D. Janzing and B. Schölkopf Conference or Workshop Item Item availablity restricted. (2007)

A Local Learning Approach for Clustering Mingru Wu and Bernhard Schölkopf Conference or Workshop Item Item availablity restricted. (2007)

A new algorithm of non-Gaussian component analysis with radial kernel functions Motoaki Kawanabe, Gilles Blanchard, Masahi Sugiyama and Klaus-Robert Müller Article Item availablity restricted. (2007)

A PROTOTYPE DECISION SUPPORT SYSTEM FOR GMO TRACEABILITY Petra Kralj, Nada Lavrac, Kristina Gruden, Ana Rotter, Dejan Stebih, Dany Morisset and Jana Zel Conference or Workshop Item Item not available online. (2007)

A Tutorial on Kernel Methods for Categorization F. Jäkel, B. Schölkopf and F.A. Wichmann Article Item availablity restricted. (2007)

A web server for automatic analysis and extraction of relevant biological knowledge J. Cedano, M. Huerta, I. Estrada, F. Ballllosera, O. Conchillo, Pedro Delicado and E. Querol Article Item not available online. (2007)

Advances in Markov chain Monte Carlo methods Iain Murray Thesis (2007)

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference B. Schölkopf, J. Platt and T. Hofmann Book Item not available online. (2007)

Agglomerative Independent Variable Group Analysis Antti Honkela, Jeremias Seppä and Esa Alhoniemi Conference or Workshop Item (2007)

Aggregation by exponential weighting and sharp oracle inequalities. Arnak Dalalyan and Alexandre Tsybakov Conference or Workshop Item (2007)

Aggregation for Gaussian regression. Florentina Bunea, Alexandre Tsybakov and Marten Wegkamp Article (2007)

Aggregation of density estimators and dimension reduction. Alexander Samarov and Alexandre Tsybakov Article (2007)

An Analysis of Inference with the Universum F.H. Sinz,