Papers
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
Rie Kubota Ando, Tong Zhang
Combining Information Extraction Systems Using Voting and Stacked Generalization
Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos et al.
Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon et al.
Assessing Approximate Inference for Binary Gaussian Process Classification
Malte Kuss, Carl Edward Rasmussen
Active Coevolutionary Learning of Deterministic Finite Automata
Josh Bongard, Hod Lipson
Managing Diversity in Regression Ensembles
Gavin Brown, Jeremy L. Wyatt, Peter Tiň
Fast Kernel Classifiers with Online and Active Learning
Antoine Bordes, Seyda Ertekin, Jason Weston et al.
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Hal Daumé III, Daniel Marcu
Local Propagation in Conditional Gaussian Bayesian Networks
Robert G. Cowell
Frames, Reproducing Kernels, Regularization and Learning
Alain Rakotomamonjy, Stéphane Canu
Large Margin Methods for Structured and Interdependent Output Variables
Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann et al.
Maximum Margin Algorithms with Boolean Kernels
Roni Khardon, Rocco A. Servedio
Inner Product Spaces for Bayesian Networks
Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt et al.
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh et al.
Efficient Computation of Gapped Substring Kernels on Large Alphabets
Juho Rousu, John Shawe-Taylor
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
Peter Binev, Albert Cohen, Wolfgang Dahmen et al.
An MDP-Based Recommender System
Guy Shani, David Heckerman, Ronen I. Brafman
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