ADAPTIVE LEARNING MACHINES FOR NONLINEAR CLASSIFICATION AND BAYESIAN INFORMATION CRITERIA - Collections

＜journal article＞
ADAPTIVE LEARNING MACHINES FOR NONLINEAR CLASSIFICATION AND BAYESIAN INFORMATION CRITERIA

Creator	Creator Name Ando, Tomohiro 安道, 知寛 Affiliation Affiliation Name Graduate School of Mathematics, Kyushu University 九州大学大学院数理学府
	Creator Name Imoto, Seiya 井元, 清哉 Affiliation Affiliation Name Institute of Medical Science, University of Tokyo 九州大学大学院数理学府
	Author PID K000534 Creator Name Konishi, Sadanori 小西, 貞則 Affiliation Affiliation Name Graduate School of Mathematics, Kyushu University 東京大学医科学研究所
Language	English
Publisher	Research Association of Statistical Sciences
Publisher	統計科学研究会
Date	2004-12
Source Title	Bulletin of informatics and cybernetics
Vol	36
First Page	147
Last Page	162
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/12706
Related DOI	Bulletin of informatics and cybernetics \|\| 36 \|\| p147-162
	http://bic.math.kyushu-u.ac.jp/
	MHF Preprint Series, Kyushu University; 2003-3
Related URI	Bulletin of informatics and cybernetics \|\| 36 \|\| p147-162
	http://bic.math.kyushu-u.ac.jp/
	MHF Preprint Series, Kyushu University; 2003-3
Relation	Bulletin of informatics and cybernetics \|\| 36 \|\| p147-162
	http://bic.math.kyushu-u.ac.jp/
	MHF Preprint Series, Kyushu University; 2003-3
Abstract	Regularization is a well-known method for the treatment of mathematically illposed problems. By using the method of regularization, we propose a new machine learning algorithm, adaptive learning machi...ne, to classify the high-dimensional data with complexshow more

File	FileType	Size	Views	Description
p147	pdf	261 KB	512

PISSN	0286-522X
NCID	AA10634475
Record ID	12706
Peer-Reviewed	Refereed
Subject Terms	Bayes approach
	Classification
	Genetic algorithm
	Regularization theory
Notes	Kyushu University 21st Century COE Program Development of Dynamic Mathematics with High Functionality
Notes	九州大学21世紀COEプログラム「機能数理学の構築と展開」
Type	学術雑誌論文
Created Date	2009.04.22
Modified Date	2020.11.02