Presentation 2022-06-28
Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning
Daiki Suehiro, Eiji Takimoto,
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Abstract(in English)
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Keyword(in English)
Paper # NC2022-24,IBISML2022-24
Date of Issue 2022-06-20 (NC, IBISML)

Conference Information
Committee NC / IBISML / IPSJ-BIO / IPSJ-MPS
Conference Date 2022/6/27(3days)
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Place (in English)
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Topics (in English)
Chair Hiroshi Yamakawa(Univ of Tokyo) / Masashi Sugiyama(Univ. of Tokyo)
Vice Chair Hirokazu Tanaka(Tokyo City Univ.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo)
Secretary Hirokazu Tanaka(NTT) / Toshihiro Kamishima(NICT) / Koji Tsuda(NTT) / (Hokkaido Univ.)
Assistant Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning
Sub Title (in English)
Keyword(1)
1st Author's Name Daiki Suehiro
1st Author's Affiliation Kyushu University/RIKEN Center for Advanced Intelligence Project(Kyushu Univ./RIKEN AIP)
2nd Author's Name Eiji Takimoto
2nd Author's Affiliation Kyushu University(Kyushu Univ.)
Date 2022-06-28
Paper # NC2022-24,IBISML2022-24
Volume (vol) vol.122
Number (no) NC-89,IBISML-90
Page pp.pp.170-177(NC), pp.170-177(IBISML),
#Pages 8
Date of Issue 2022-06-20 (NC, IBISML)