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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Naonori Ueda (NTT)
Vice Chair Takashi Washio (Osaka Univ.), Tomoyuki Higuchi (ISM)
Secretary Masashi Sugiyama (Tokyo Inst. of Tech.), Tsuyoshi Ide (IBM)
Assistant Daichi Mochihashi (ISM), Shigeyuki Ohba (Kyoto Univ.)

Conference Date Thu, Mar 6, 2014 13:00 - 15:45
Fri, Mar 7, 2014 09:40 - 17:10
Topics Statistical mathmatics, machine learning, data mining, and other topics 
Conference Place  

Thu, Mar 6 PM 
13:00 - 14:15
(1) 13:00-13:25 A Generic Framework for Forward and Forward-Backward Algorithms on Various Kinds of Data Structures in Machine Learning Ai Azuma, Yuji Matsumoto (NAIST)
(2) 13:25-13:50 Simultaneous prediction of multiple physical properties using multi-task learning Tomoaki Iwase (Univ. of Tokyo), Atsuto Seko (Kyoto Univ.), Hisashi Kashima (Univ. of Tokyo)
(3) 13:50-14:15 Finding scale-free networks of Gaussian graphical models by sampling Shota Shikita, Osamu Maruyama (Kyushu Univ.)
Thu, Mar 6 PM 
14:30 - 15:45
(4) 14:30-14:55 Study about Over-Learning Phenomenon of Sample Mahalanobis Distances Yasuyuki Kobayashi (Teikyo Univ.)
(5) 14:55-15:20 Consideration of Correlation between Users' Evaluating Values and Their Dropouts in Missing Value Prediction Kenta Nishimura, Toshiyuki Tanaka (Kyoto Univ.)
(6) 15:20-15:45 Focused Tensor Completion
-- Transfer learning for completing a certain slice of a third-order tensor Data --
Taketo Akama, Yukino Baba, Hisashi Kashima (Univ. of Tokyo)
Fri, Mar 7 AM 
09:40 - 10:55
(7) 09:40-10:05 A Label Completion Approach to Crowd Approximation Toshihiro Watanabe, Hisashi Kashima (Univ. of Tokyo)
(8) 10:05-10:30 Online Prediction with Bradley-Terry Models and Logistic Models Issei Matsumoto, Kohei Hatano, Eiji Takimoto (Kyushu Univ)
(9) 10:30-10:55 Online Matrix Prediction with Log-Determinant Regularizer Kenichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.), Koji Tsuda (AIST)
Fri, Mar 7 AM 
11:10 - 12:00
(10) 11:10-11:35 Blind Separation of Sparse and Smooth Signals via Approximate Message Passing Algorithm Shigeki Yokoyama, Toshiyuki Tanaka (Kyoto Univ.)
(11) 11:35-12:00 Bayesian Test of Independence Takanori Ayano, Joe Suzuki (Osaka Univ.)
Fri, Mar 7 PM 
13:30 - 14:30
(12) 13:30-14:30 [Invited Talk]
A Brief Introduction to Machine Learning with Submodular Functions and Recent Trends
Yoshinobu Kawahara (Osaka Univ.)
Fri, Mar 7 PM 
14:45 - 16:00
(13) 14:45-15:10 Estimation of Item Preference Parameter with User Review Data Shunichi Mochizuki, Yu Fujimoto, Noboru Murata (Waseda Univ.)
(14) 15:10-15:35 Effective interest point detection and clustering method for action recognition Kazuaki Aihara, Terumasa Aoki (Tohoku Univ)
(15) 15:35-16:00 Extention of Automatic Binary Logistic Estimation model for right censored survival data Toshio Shimokawa (Univ. of Yamanashi)
Fri, Mar 7 PM 
16:20 - 17:10
(16) 16:20-16:45 Binary Principal Points Based on Subgradient Method and Its Application Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.)
(17) 16:45-17:10 Simultaneous estimation of rating and character by a stochastic model of winning percentage Yoshiyuki Nakamoto, Toshiyuki Tanaka (Kyoto Univ.)

Announcement for Speakers
General TalkEach speech will have 20 minutes for presentation and 5 minutes for discussion.

Contact Address and Latest Schedule Information
IBISML Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)   [Latest Schedule]
Contact Address  


Last modified: 2014-02-13 17:54:07


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