PASCAL - Subject: Theory & Algorithms

Agnostic Learning vs. Prior Knowledge Challenge Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Conference or Workshop Item Item availablity restricted. (August 2008)

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

Information Consistency of Nonparametric Gaussian Process Methods matthias seeger, Sham Kakade and Dean P. Foster Article Item not available online. (April 2008)

Learning iteratively a classifier with the Bayesian Model Averaging Principlestar Rudy Sicard, Thierry Artières and Eric Petit Article Item not available online. (March 2008)

A Formal Context for Symmetric Dependencies Jaume Baixeries Conference or Workshop Item Item availablity restricted. (16 February 2008)

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

Cost-minimising strategies for data labelling: Optimal stopping and active learning Christos Dimitrakakis and Christian Savu-Krohn Conference or Workshop Item (February 2008)

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

Mining Implications from Lattices of Closed Trees José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (29 January 2008)

Practical Feature Selection: from Correlation to Causality Isabelle Guyon Book Section (16 January 2008)

Transcript Normalization and Segmentation of Tiling Array Data Georg Zeller, Stefan Henz, Sascha Laubinger, Detlef Weigel and Gunnar Raetsch Conference or Workshop Item Item not available online. (04 January 2008)

Improved risk tail bounds for on-line algorithms Nicolò Cesa-Bianchi and Claudio Gentile Article (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)

Optimisation du Primal pour les SVM Trinh-Minh-Tri Do and Thierry Artières Conference or Workshop Item Item not available online. (January 2008)

A Discriminative Kernel-based Model to Rank Images from Text Queries David Grangier and Samy Bengio Article (2008)

A Spectral Regularization Framework for Multi-Task Structure Learning Andreas Argyriou, Charles Micchelli, Massimiliano Pontil and Yiming Ying Conference or Workshop Item Item not available online. (2008)

A Study of Mechanisms for Improving Robotic Group Performance Avi Rosenfeld, Gal Kaminka, Sarit Kraus and Onn Shehory Article (2008)

An analysis of convex relaxations for MAP estimation Mudigonda Pawan Kumar, Vladimir Kolmogorov and Philip Torr Conference or Workshop Item (2008)

Apprentissage de fonctions d'ordonnancement semi--supervisé inductives Vinh Truong, Massih Amini and Patrick Gallinari Conference or Workshop Item (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)

Consistent Minimization of Clustering Objective Functions Ulrike v. Luxburg, Sebastien Bubeck, Stefanie Jegelka and Michael Kaufmann Conference or Workshop Item 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)

Eliciting Consumer Preferences using Robust Adaptive Choice Questionnaires Jacob Abernethy, Theodoros Evgeniou, Olivier Toubia and Jean-Philippe Vert Article Item not available online. (2008)

Gene expression modelling through positive Boolean functions Francesca Ruffino, Marco Muselli and Giorgio Valentini Article (2008)

Learning to Classify with Missing and Corrupted Features Ohad Shamir and Ofer Dekel Conference or Workshop Item (2008)

Local tail bounds for functions of independent random variables Luc Devroye and Gábor Lugosi Article Item not available online. (2008)

Model Selection and Stability in k-means Clustering Ohad Shamir and Naftali Tishby 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)

Online Classification for Complex Problems Using Simultaneous Projections Yonatan Amit, Shai Shalev-Shwartz and Yoram Singer 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)

Strategies for prediction under imperfect monitoring. Gábor Lugosi, Shie Mannor and Gilles Stoltz Article Item not available online. (2008)

Tracking the best quantizer Andras Gyorgy, Tamas Linder and Gábor Lugosi Article Item not available online. (2008)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article (2008)

Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (2008)

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

Analysis of the IJCNN 2007 Agnostic Learning vs. Prior Knowledge Challenge Isabelle Guyon, Amir Saffari, Gideon Dror and Gavin Cawley Article Item availablity restricted. (27 December 2007)

An Approximation Ratio for Biclustering Kai Puolamäki, Sami Hanhijärvi and Gemma Garriga Article Item not available online. (17 December 2007)

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

Soft Failure Detection using Factorial Hidden Markov Models Guillaume Bouchard and Jean-Marc Andreoli Conference or Workshop Item (13 December 2007)

Apprentissage de Fonctions d'ordonnancement et de classification avec des données partiellement étiquetées Massih Amini Thesis (11 December 2007)

Inferring vertex properties from topology in large networks Janne Aukia, Samuel Kaski and Janne Sinkkonen Conference or Workshop Item (08 December 2007)

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

Fitted Q-iteration in continuous action-space MDPs Andras Antos, Rémi Munos and Csaba Szepesvari Conference or Workshop Item Item availablity restricted. (04 December 2007)

Scene Segmentation with CRFs Learned from Partially Labeled Images Jakob Verbeek and William Triggs Conference or Workshop Item (03 December 2007)

A note on n-tuple colourings and circular colourings of planar graphs with large odd girth Petra Šparl and Janez Žerovnik Article Item not available online. (December 2007)

Computing Positional Oligomer Importance Matrices (POIMs) Alexander Zien, Petra Philips and Sören Sonnenburg Monograph (December 2007)

Entailment and Basis Optimality in Confidence-Bounded Association Rules José Balcázar Monograph Item not available online. (December 2007)

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

Optimized cutting plane algorithm for support vector machines Vojtech Franc and Sören Sonnenburg Monograph (December 2007)

Robustly estimating the flow direction of information in complex physical systems Guido Nolte, Andreas Ziehe, Vadim Nikulin, Alois Schlögl, Nicole Krämer, Tom Brismar and Klaus-Robert Müller Article (December 2007)

Semiparametric Gaussian white noise models in the non-regular case Ismael Castillo and Eric Cator Article (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)

Sufficient conditions for convergence of the sum-product algorithm Joris Mooij and Bert Kappen Article (December 2007)

Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaid Harchaoui, Francis Bach and Eric Moulines Conference or Workshop Item (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 Diffusion Processes Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor Conference or Workshop Item (December 2007)

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

Sparse Canonical Correlation Analysis David Hardoon and John Shawe-Taylor Article Item availablity restricted. (29 November 2007)

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

Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path Andras Antos, Csaba Szepesvari and Rémi Munos Article Item availablity restricted. (14 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)

Biologically Inspired Kinematic Synergies Provide a New Paradigm for Balance Control of Humanoid Robots Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert and Wolfgang Maass Conference or Workshop Item Item availablity restricted. (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)

Learning manifolds with the Parametrized Self-Organizing Map and Unsupervised Kernel Regression Stefan Klanke Thesis Item not available online. (November 2007)

Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data Zakria Hussain, Francois Laviolette, Mario Marchand, John Shawe-Taylor, Spencer Charles Brubaker and Matthew D Mullin Article (November 2007)

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article Item availablity restricted. (31 October 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)

Similarity and differences by finite automata Tamas Gaal Conference or Workshop Item Item not available online. (23 October 2007)

Advances in variable selection and visualization methods for analysis of multivariate data Timo Similä Thesis Item availablity restricted. (19 October 2007)

A Library For Locally Weighted Projection Regression Stefan Klanke, Sethu Vijayakumar and Stefan Schaal Article Item not available online. (17 October 2007)

Learning Kernel Perceptron on Noisy Data using Random Projections Guillaume Stempfel and Liva Ralaivola Conference or Workshop Item Item not available online. (11 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)

Cluster Stability for Finite Samples Ohad Shamir and Naftali Tishby Conference or Workshop Item (October 2007)

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

Optimal parameters for search using a barrier tree Markov model Benfold W, Hallam J and Adam Prügel-Bennett Article Item not available online. (October 2007)

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

Towards Structured Output Prediction of Enzyme Function Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Conference or Workshop Item Item availablity restricted. (24 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)

A Fast Method to Predict the Labeling of a Tree Sergio Rojas and Mark Herbster Conference or Workshop Item (17 September 2007)

Learning String Balls with Correction Queries Leonor Becerra Bonache, Colin de la Higuera, Jean-Christophe Janodet and Frédéric Tantini Conference or Workshop Item Item not available online. (17 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)

Subtree Testing and Closed Tree Mining Through Natural Representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (03 September 2007)

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

A General Dimension for Query Learning José Balcázar, Jorge Castro, David Guijarro, Johannes Köbler and Wolfgang Lindner Article (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)

Applications of regularized least squares to classification problems Nicolò Cesa-Bianchi Article (September 2007)

Coordinating concurrent transmissions: a constant-factor approximation of maximum-weight independent set in local conflict graphs Petteri Kaski, Aleksi Penttinen and Jukka Suomela Conference or Workshop Item Item availablity restricted. (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)

Efficient continuous-time reinforcement learning with adaptive state graphs Gerhard Neumann, Michael Pfeiffer and Wolfgang Maass Conference or Workshop Item Item not available online. (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)

Input selection and shrinkage in multiresponse linear regression Timo Similä and Jarkko Tikka Article Item availablity restricted. (September 2007)

Linear Data Fusion with drCCA Abhishek Tripathi, Arto Klami and Samuel Kaski Conference or Workshop Item Item availablity restricted. (September 2007)

Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models Silvia Chiappa and David Barber Conference or Workshop Item Item not available online. (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)

The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Raetsch, Bernhard Schölkopf, Alex Smola, Pascal Vincent, Jason Weston and Robert Williamson Article (September 2007)

Truncating the loop series expansion for belief propagation Vicenç Gómez, Joris Mooij and Bert Kappen Article (September 2007)

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

Fuzzy ensemble clustering for DNA microarray data analysis Roberto Avogadri and Giorgio Valentini Book Section (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)

Overview of Morpho Challenge in CLEF 2007 Mikko Kurimo, Mathias Creutz and Ville Turunen Conference or Workshop Item (11 August 2007)

Unsupervised Morpheme Analysis Evaluation by IR experiments at Morpho Challenge 2007 Mikko Kurimo, Mathias Creutz and Ville Turunen Conference or Workshop Item (11 August 2007)

Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard at Morpho Challenge 2007 Mikko Kurimo, Mathias Creutz and Matti Varjokallio Conference or Workshop Item (11 August 2007)

Closed and maximal tree mining using natural representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (01 August 2007)

General Graph Refinement with Polynomial Delay Jan Ramon and Siegfried Nijssen Conference or Workshop Item Item not available online. (01 August 2007)

What is frequent in a single graph? Björn Bringmann and Siegfried Nijssen Conference or Workshop Item Item not available online. (01 August 2007)

Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems Yuan Shen, Cedric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor and Remi Barillec Conference or Workshop Item Item availablity restricted. (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)

A Kernel Approach to Comparing Distributions Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex Smola Conference or Workshop Item Item not available online. (24 July 2007)

Modeling Sequence Evolution with Kernel Methods Margherita Bresco, Marco Turchi, Tijl De Bie and Nello Cristianini Article Item not available online. (24 July 2007)

Mining Frequent Closed Unordered Trees Through Natural Representations José Balcázar, Albert Bifet and Antoni Lozano Conference or Workshop Item Item availablity restricted. (22 July 2007)

Lattice Characterization of Armstrong and Symmetric Dependencies Jaume Baixeries Thesis Item availablity restricted. (12 July 2007)

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

An application of bayesian model averaging to histograms Rudy Sicard and Thierry Artières Conference or Workshop Item Item not available online. (July 2007)

Apprentissage de Mélanges Gaussiens par Maximisation de la marge avec SMO Trinh-Minh-Tri Do and Thierry Artières Conference or Workshop Item (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)

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)

Hierarchical Gaussian process latent variable models Neil Lawrence and Andrew Moore Conference or Workshop Item (July 2007)

Incorporating Observer Biases in Keyhole Plan Recognition (Efficiently!) Dorit Avrahami-Zilberbrand and Gal Kaminka Conference or Workshop Item Item not available online. (July 2007)

Kernel-based data fusion for gene prioritization Tijl De Bie, Leon-Charles Tranchevent Tranchevent, Liesbeth van Oeffelen and Yves Moreau Article Item not available online. (July 2007)

Molecular Graph Kernels for Drug Discovery Craig Saunders and Anthony Demco Conference or Workshop Item Item not available online. (July 2007)

Q-learning Algorithms for Optimal Stopping Based on Least Squares Huizhen Yu and Dimitri Bertsekas Conference or Workshop Item (July 2007)

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

Universal multi-task kernels Andreas Caponnetto, Charles Micchelli, Massimiliano Pontil and Yiming Ying Monograph (July 2007)

Approximability of identifying codes and locating-dominating codes Jukka Suomela Article Item availablity restricted. (30 June 2007)

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

Learning Decision Trees Adaptively from Data Streams with Time Drift Albert Bifet and Ricard Gavaldà Monograph Item availablity restricted. (28 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)

A distributed approximation scheme for sleep scheduling in sensor networks Patrik Floréen, Petteri Kaski and Jukka Suomela Conference or Workshop Item Item availablity restricted. (18 June 2007)

Strong Equilibrium in Cost-Sharing Connection Game Amir Epstein, Michal Feldman and Yishay Mansour Conference or Workshop Item (09 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)

Regret to the Best vs. Regret to the average. Eyal Even-Dar, Michael Kearns, Yishay Mansour and Jenn Wortman Conference or Workshop Item (08 June 2007)

The Communication Complexity of Uncoupled Nash Equilibrium Procedures Srgiu Hart and Yishay Mansour Conference or Workshop Item (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)

Modeling Natural Sounds With Modulation Cascade Processes Richard Turner and Maneesh Sahani Article (01 June 2007)

Using generalization error bounds to train the set covering machine Zakria Hussain and John Shawe-Taylor Article (01 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)

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

Boosting Algorithms for Maximizing the Soft Margin Manfred Warmuth, Karen Glocer and Gunnar Raetsch Conference or Workshop Item Item not available online. (June 2007)

Contrast Set Mining for Distinguishing between Similar Diseases Petra Kralj, Nada Lavrac, Dragan Gamberger and Antonija Krstačić Conference or Workshop Item 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)