Art
J-GLOBAL ID：200902146646137531
Reference number：03A0013115
Improvement of Generalization Ability of Multiclass Support Vector Machines by Introducing Fuzzy Logic and Bayes Theory.
ファジィ理論およびベイズ理論の導入によるマルチクラスサポートベクトルマシンの汎化能力の向上
Author (2)：
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Material：
Volume：
15
Issue：
12
Page：
643-651
Publication year：
Dec. 2002
JST Material Number：
L0070A
ISSN：
1342-5668
Document type：
Article
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Category name(code) classified by JST.
Pattern recognition
Reference (8)：
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CHERKASSKY, V. Learning from Data : Concepts, Theory, and Method. 1998
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VAPNIK, V. N. Statistical Learning Theory. 1998
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ABE, S. Pattern Classification : Neuro-fuzzy Methods and Their Comparison. 2001
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KREBEL, U. H. -G. Pairwise classification and support vector machines. Advances in Kernel Methods : Support Vector Learning. 1999, 255-268
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井上. パターン認識用ファジィサポートベクトルマシンのアーキテクチャ. システム制御情報学会論文誌. 2001, 15, 2, 99-105
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