Presentation 2016-05-21
Sparse least squares support vector machine using the recursive feature elimination
Fumito Ebuchi, Takuya Kitamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NC2016-2
Date of Issue 2016-05-14 (NC)

Conference Information
Committee MBE / NC
Conference Date 2016/5/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English) University of Toyama
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsuo Kobayashi(Kyoto Univ.) / Toshimichi Saito(Hosei Univ.)
Vice Chair Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.)
Secretary Yutaka Fukuoka(akita noken) / Shigeo Sato(Kogakuin Univ.)
Assistant Takenori Oida(Kyoto Univ.) / Ryota Horie(Shibaura Inst. of Tech.) / Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sparse least squares support vector machine using the recursive feature elimination
Sub Title (in English)
Keyword(1)
1st Author's Name Fumito Ebuchi
1st Author's Affiliation National Institute of Technology, Toyama College(NIT,T)
2nd Author's Name Takuya Kitamura
2nd Author's Affiliation National Institute of Technology, Toyama College(NIT,T)
Date 2016-05-21
Paper # NC2016-2
Volume (vol) vol.116
Number (no) NC-59
Page pp.pp.5-10(NC),
#Pages 6
Date of Issue 2016-05-14 (NC)