Presentation 2003/6/20
Online learning of ensemble learning by parallel boosting
Kazuyuki HARA, Masato OKADA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We discuss the parallel boosting based on the on-line learning. In general, the weight vector of the learning machine is initialized by the indipendent identical random number. In this case, the correlation of the weight vectors of all the learning machines could be considered as the same becase of the similality of the time dependent equation of the weight vectors. In this paper, we analyze the time dependence of correlations of the weight vectors when they are not uniformly initialized. Moreover, the trajectories of the weight values for averaging are investigated. As the results, it is shown that the optimal values of the weights for parallel boostings are constant during the learning process, and the optimal weights depend on only the initial value of the correlation, of the weight vectors.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) On-line learning / Parallel boosting / Ensemble learning / Linear perceptron / Generalization error
Paper # NC2003-14
Date of Issue

Conference Information
Committee NC
Conference Date 2003/6/20(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Online learning of ensemble learning by parallel boosting
Sub Title (in English)
Keyword(1) On-line learning
Keyword(2) Parallel boosting
Keyword(3) Ensemble learning
Keyword(4) Linear perceptron
Keyword(5) Generalization error
1st Author's Name Kazuyuki HARA
1st Author's Affiliation Department of Electronics and Information Engineer, Tokyo Metropolitan College of Technology()
2nd Author's Name Masato OKADA
2nd Author's Affiliation Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN:JST PRESTO
Date 2003/6/20
Paper # NC2003-14
Volume (vol) vol.103
Number (no) 153
Page pp.pp.-
#Pages 6
Date of Issue