Papers
Concentration Bounds for Unigram Language Models
Evgeny Drukh, Yishay Mansour
Separating a Real-Life Nonlinear Image Mixture
Luís B. Almeida
Semigroup Kernels on Measures
Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
Marianthi Markatou, Hong Tian, Shameek Biswas et al.
Learning the Kernel Function via Regularization
Charles A. Micchelli, Massimiliano Pontil
A Generalization Error for Q-Learning
Susan A. Murphy
Learning the Kernel with Hyperkernels
Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson
Gaussian Processes for Ordinal Regression
Wei Chu, Zoubin Ghahramani
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
Algorithmic Stability and Meta-Learning
Andreas Maurer
Learning a Mahalanobis Metric from Equivalence Constraints
Aharon Bar-Hillel, Tomer Hertz, Noam Shental et al.
Loopy Belief Propagation: Convergence and Effects of Message Errors
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
Learning from Examples as an Inverse Problem
Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto et al.
Prioritization Methods for Accelerating MDP Solvers
David Wingate, Kevin D. Seppi
Multiclass Classification with Multi-Prototype Support Vector Machines
Fabio Aiolli, Alessandro Sperduti
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application
Joseph F. Murray, Gordon F. Hughes, Kenneth Kreutz-Delgado
Smooth ε-Insensitive Regression by Loss Symmetrization
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Variational Message Passing
John Winn, Christopher M. Bishop
Adaptive Online Prediction by Following the Perturbed Leader
Marcus Hutter, Jan Poland
Learning Multiple Tasks with Kernel Methods
Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil
Active Learning to Recognize Multiple Types of Plankton
Tong Luo, Kurt Kramer, Dmitry B. Goldgof et al.
Learning Module Networks
Eran Segal, Dana Pe'er, Aviv Regev et al.
Tree-Based Batch Mode Reinforcement Learning
Damien Ernst, Pierre Geurts, Louis Wehenkel