Presentation 2022-06-28
Learning DAG Graph Models without Identifiability from Sparse Inverse Covariance
Ziyu Guo, Shin Matsushima,
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Abstract(in English)
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Keyword(in English)
Paper # NC2022-19,IBISML2022-19
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
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Learning DAG Graph Models without Identifiability from Sparse Inverse Covariance
Sub Title (in English)
Keyword(1)
1st Author's Name Ziyu Guo
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Shin Matsushima
2nd Author's Affiliation The University of Tokyo(UTokyo)
Date 2022-06-28
Paper # NC2022-19,IBISML2022-19
Volume (vol) vol.122
Number (no) NC-89,IBISML-90
Page pp.pp.137-142(NC), pp.137-142(IBISML),
#Pages 6
Date of Issue 2022-06-20 (NC, IBISML)