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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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
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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
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