Papers
172,654 papers found
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples
Vassilios Petridis, Vassilis G. Kaburlasos
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
Helge Langseth, Thomas D. Nielsen
Generalization Error Bounds for Bayesian Mixture Algorithms
Ron Meir, Tong Zhang
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
Simon Perkins, Kevin Lacker, James Theiler
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
Shie Mannor, Ron Meir, Tong Zhang
ICA for Watermarking Digital Images
Stéphane Bounkong, Borémi Toch, David Saad et al.
ICA Using Spacings Estimates of Entropy
Erik G. Learned-Miller, John W. Fisher III
ILP: A Short Look Back and a Longer Look Forward
David Page, Ashwin Srinivasan
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