Presentation 2018-11-05
[Poster Presentation] Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Hiroki Sato, Motoki Shiga, Makoto Yamada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) On gene network analysis, detecting network structural changes among different cell states is necessary to understand biological systems. However, due to the number of parameters of a network model, which is at least the square order of the number of genes, the model training requires huge computational cost. To improve the computational cost, this paper proposes a new safe screening algorithm for a sparse KLIEP model on Markov network structural change detection. The screening rule theoretically guarantee that only unnecessary parameters can be removed before the parameter optimization. Numerical experiments demonstrate that our proposed algorithm can drastically decrease the computational cost.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Safe screening / sparse learning / Markov network
Paper # IBISML2018-52
Date of Issue 2018-10-29 (IBISML)

Conference Information
Committee IBISML
Conference Date 2018/11/5(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Citizens Activites Center (Kaderu 2.7)
Topics (in Japanese) (See Japanese page)
Topics (in English) Information-Based Induction Science Workshop (IBIS2018)
Chair Hisashi Kashima(Kyoto Univ.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST)
Assistant Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Sub Title (in English)
Keyword(1) Safe screening
Keyword(2) sparse learning
Keyword(3) Markov network
1st Author's Name Hiroki Sato
1st Author's Affiliation Gifu University(Gifu Univ)
2nd Author's Name Motoki Shiga
2nd Author's Affiliation Gifu University/Japan Science and Technology Agency/RIKEN(Gifu Univ./JST/RIKEN)
3rd Author's Name Makoto Yamada
3rd Author's Affiliation Kyoto University/Japan Science and Technology Agency/RIKEN(Kyoto Univ./JST/RIKEN)
Date 2018-11-05
Paper # IBISML2018-52
Volume (vol) vol.118
Number (no) IBISML-284
Page pp.pp.61-68(IBISML),
#Pages 8
Date of Issue 2018-10-29 (IBISML)