Presentation	2003/3/7 Boosting with Evolutionary Index Selection Kazuhiro MATSUI, Haruo SATO,
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Abstract(in English)	We propose an extension of the boosting method, namely, evolutionary boosting (EB), by introducing a concept of the evolutionary index selection (EIS). The EIS, which has been proposed by the authors, selects effective combinations of indices for pattern-classification tasks using an evolutionary method. The EB is a new classification method based on the integration of the EIS and the boosting. In this paper, we apply our method to some benchmark problems and discuss the effectiveness of the proposed method.
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Keyword(in English)	Boosting / Genetic Algorithm / Index Selection
Paper #	PRMU2002-257
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Committee	PRMU
Conference Date	2003/3/7(1days)
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Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Boosting with Evolutionary Index Selection
Sub Title (in English)
Keyword(1)	Boosting
Keyword(2)	Genetic Algorithm
Keyword(3)	Index Selection
1st Author's Name	Kazuhiro MATSUI
1st Author's Affiliation	Dept. of Computer Science, College of Engineering, Nihon University()
2nd Author's Name	Haruo SATO
2nd Author's Affiliation	Dept. of Computer Science, College of Engineering, Nihon University
Date	2003/3/7
Paper #	PRMU2002-257
Volume (vol)	vol.102
Number (no)	708
Page	pp.pp.-
#Pages	6
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