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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
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.)
DATE:
Thu, Mar 6, 2014 13:00 - 15:45
Fri, Mar 7, 2014 09:40 - 17:10
PLACE:
TOPICS:
Statistical mathmatics, machine learning, data mining, and other topics
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Thu, Mar 6 PM (13:00 - 14:15)
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(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.)
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Thu, Mar 6 PM (14:30 - 15:45)
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(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)
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Fri, Mar 7 AM (09:40 - 10:55)
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(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)
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Fri, Mar 7 AM (11:10 - 12:00)
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(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.)
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Fri, Mar 7 PM (13:30 - 14:30)
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(12) 13:30 - 14:30
[Invited Talk]
A Brief Introduction to Machine Learning with Submodular Functions and Recent Trends
Yoshinobu Kawahara (Osaka Univ.)
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Fri, Mar 7 PM (14:45 - 16:00)
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(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)
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Fri, Mar 7 PM (16:20 - 17:10)
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(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.)
# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:
Wed, Jun 25, 2014 - Fri, Jun 27, 2014: Okinawa Institute of Science and Technology [Wed, Apr 30], Topics: Machine Learning Approach to Biodata Mining, and General
Last modified: 2014-02-13 17:54:07
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