Papers
173,579 papers found
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results
Orlando Cicchello, Stefan C. Kremer
Kernel Methods for Relation Extraction
Dmitry Zelenko, Chinatsu Aone, Anthony Richardella
Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng, Michael I. Jordan
Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
Sandra Clara Gadanho
Learning over Sets using Kernel Principal Angles
Lior Wolf, Amnon Shashua
Learning Probabilistic Models: An Expected Utility Maximization Approach
Craig Friedman, Sven Sandow
Learning Rates for Q-learning
Eyal Even Dar, Yishay Mansour
Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming
Vincent Claveau, Pascale Sébillot, Cécile Fabre et al.
Least-Squares Policy Iteration
Michail G. Lagoudakis, Ronald Parr
Matching Words and Pictures
Kobus Barnard, Pinar Duygulu, David Forsyth et al.
MISEP -- Linear and Nonlinear ICA Based on Mutual Information
Luís B. Almeida
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling
Isabelle Rivals, Léon Personnaz
Nash Q-Learning for General-Sum Stochastic Games
Junling Hu, Michael P. Wellman
On Inclusion-Driven Learning of Bayesian Networks
Robert Castelo, Tomás Kocka
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
Aldebaro Klautau, Nikola Jevtić, Alon Orlitsky
On the Performance of Kernel Classes
Shahar Mendelson
On the Proper Learning of Axis-Parallel Concepts
Nader H. Bshouty, Lynn Burroughs
On the Rate of Convergence of Regularized Boosting Classifiers
Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
Jaakko Särelä, Ricardo Vigário
Path Kernels and Multiplicative Updates
Eiji Takimoto, Manfred K. Warmuth
Preference Elicitation via Theory Refinement
Peter Haddawy, Vu Ha, Angelo Restificar et al.