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ICML
2003
IEEE
16 years 2 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
GECCO
2003
Springer
15 years 6 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
KDD
1998
ACM
114views Data Mining» more  KDD 1998»
15 years 5 months ago
Coactive Learning for Distributed Data Mining
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Dan L. Grecu, Lee A. Becker
ALT
2010
Springer
15 years 2 months ago
Distribution-Dependent PAC-Bayes Priors
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
Guy Lever, François Laviolette, John Shawe-...
WISE
2006
Springer
15 years 7 months ago
Construction of a Distributed Learning Resource Management System Based on RSS Technology
- RSS is the first letter abbreviations of English Rich Site Summary (enriches the website summary ) or Really Simple Syndication (really simple merger ), it is a kind of simple an...
Chengling Zhao, Liyong Wan, Ying Yu, Qi Luo