Presentation	2005/3/23 Constructing error correcting codes based on estimation error of a posteriori probabilities for WLS-ECOC Nobuhiko YAMAGUCHI,
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Abstract(in English)	The object of this paper is to construct error correcting codes for Error Correcting Output Coding(ECOC) classifiers. The ECOC classifier is one of Multiple Classifier Systems(MCSs), which prepare a large number of discriminant functions and then construct a classifier by combining these discriminant functions. In this paper, we focus on ECOC combination strategy based on Weighted Least Squares(WLS-ECOC) and propose a new construction of error correcting codes for WLS-ECOC. In this construction, we define the criteria of the codes as the estimation error of a posteriori probabilities and construct the codes based on the minimization of the estimation error.
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Keyword(in English)	ECOC / error correcting codes / neural networks / pattern classification
Paper #	NC2004-220
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Conference Information
Committee	NC
Conference Date	2005/3/23(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Constructing error correcting codes based on estimation error of a posteriori probabilities for WLS-ECOC
Sub Title (in English)
Keyword(1)	ECOC
Keyword(2)	error correcting codes
Keyword(3)	neural networks
Keyword(4)	pattern classification
1st Author's Name	Nobuhiko YAMAGUCHI
1st Author's Affiliation	Faculty of Science and Engineering, Saga University()
Date	2005/3/23
Paper #	NC2004-220
Volume (vol)	vol.104
Number (no)	760
Page	pp.pp.-
#Pages	6
Date of Issue