Papers
173,579 papers found
Learning from Examples as an Inverse Problem
Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto et al.
Learning Hidden Variable Networks: The Information Bottleneck Approach
Gal Elidan, Nir Friedman
Learning Module Networks
Eran Segal, Dana Pe'er, Aviv Regev et al.
Learning Multiple Tasks with Kernel Methods
Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil
Learning the Kernel Function via Regularization
Charles A. Micchelli, Massimiliano Pontil
Learning the Kernel with Hyperkernels
Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson
Learning with Decision Lists of Data-Dependent Features
Mario Marchand, Marina Sokolova
Local Propagation in Conditional Gaussian Bayesian Networks
Robert G. Cowell
Loopy Belief Propagation: Convergence and Effects of Message Errors
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
Managing Diversity in Regression Ensembles
Gavin Brown, Jeremy L. Wyatt, Peter Tiň
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
Maximum Margin Algorithms with Boolean Kernels
Roni Khardon, Rocco A. Servedio
Multiclass Boosting for Weak Classifiers
Günther Eibl, Karl-Peter Pfeiffer
Multiclass Classification with Multi-Prototype Support Vector Machines
Fabio Aiolli, Alessandro Sperduti
New Horn Revision Algorithms
Judy Goldsmith, Robert H. Sloan
On Correlating Sonar Images
Richard J. Rikoski, J. Tory Cobb, Daniel C. Brown
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas, Michael W. Mahoney
Parsing the Penn Chinese Treebank with Semantic Knowledge
Deyi Xiong, Shuanglong Li, Qun Liu et al.
Prioritization Methods for Accelerating MDP Solvers
David Wingate, Kevin D. Seppi
Semigroup Kernels on Measures
Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
Separating a Real-Life Nonlinear Image Mixture
Luís B. Almeida
Smooth ε-Insensitive Regression by Loss Symmetrization
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Square Root SAM
Frank Dellaert