Presentation 2002/3/12
Constructing output coding classifiers in multiclass learning problems
Nobuhiko YAMAGUCHI, Naohiro ISHII,
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Abstract(in English) Ensemble is an effective technique for improving generalization ability. Ensemble technique is to create a set of learned models by repeatedly applying the algorithm to different learning circumstances, and then combining the learned models. In this paper, we investigate the ensemble technique based on error correcting codes. And, we propose the method for decoding the model's outputs coded by error correcting codes to class symbol.
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Keyword(in English) ensemble / error correcting codes / pattern classification
Paper # NC2001-179
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Conference Information
Committee NC
Conference Date 2002/3/12(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Constructing output coding classifiers in multiclass learning problems
Sub Title (in English)
Keyword(1) ensemble
Keyword(2) error correcting codes
Keyword(3) pattern classification
1st Author's Name Nobuhiko YAMAGUCHI
1st Author's Affiliation Department of Intelligence Systems and computer Science, Nagoya Institute of Technology()
2nd Author's Name Naohiro ISHII
2nd Author's Affiliation Department of Intelligence Systems and computer Science, Nagoya Institute of Technology
Date 2002/3/12
Paper # NC2001-179
Volume (vol) vol.101
Number (no) 736
Page pp.pp.-
#Pages 7
Date of Issue