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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Kenji Fukumizu (ISM)
Vice Chair Masashi Sugiyama (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.)
Secretary Ichiro Takeuchi (Nagoya Inst. of Tech.), Koji Tsuda (Univ. of Tokyo)
Assistant Tomoharu Iwata (NTT), Toshihiro Kamishima (AIST)

Conference Date Mon, Mar 5, 2018 13:00 - 17:50
Tue, Mar 6, 2018 10:00 - 14:25
Topics Statisitical Mathematics, Machine Learning, Data Mining, etc. 
Conference Place Large conference room, Nishijin Plaza, Kyushu University 
Address 2-16-23 Nishijin, Sawara-ku, Fukuoka-shi, Fukuoka-ken 814-0002 Japan
Transportation Guide
Kohei Hatano, Kyushu University
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Participation Fee This workshop will be held as the IEICE workshop in fully electronic publishing. Participant fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the participant fee page. We request the participant fee to participants who will attend the workshop(s) on IBISML.

Mon, Mar 5 PM 
13:00 - 14:40
(1) 13:00-13:25 Real Log Canonical Threshold and Bayesian Generalization Error of Mixture of Poisson Distributions IBISML2017-90 Kenichiro Sato, Sumio Watanabe (Tokyo Inst. of Tech.)
(2) 13:25-13:50 Information Geometry of Modal Linear Regression IBISML2017-91 Keishi Sando (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba)
(3) 13:50-14:15 Metric Learning for k-Nearest Neighbor Estimation using Multiple Distance Metrics IBISML2017-92 Yokuto Seki, Noboru Murata (Waseda Univ.)
(4) 14:15-14:40 Exponential Family of Markov Kernels and Asymptotic Exponential Family of Markov Sources IBISML2017-93 Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC)
  14:40-14:55 Break ( 15 min. )
Mon, Mar 5 PM 
14:55 - 15:55
(5) 14:55-15:55  
  15:55-16:10 Break ( 15 min. )
Mon, Mar 5 PM 
16:10 - 17:50
(6) 16:10-16:35 Bootstrap Outlier Test IBISML2017-94 Hayato Watanabe (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba/RIKEN), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.)
(7) 16:35-17:00 Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model IBISML2017-95 Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.)
(8) 17:00-17:25 Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information IBISML2017-96 Taira Tsuchiya (Waseda Univ.), Tomoharu Iwata (NTT), Tetsuji Ogawa (Waseda Univ.)
(9) 17:25-17:50 Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables IBISML2017-97 Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.)
Tue, Mar 6 AM 
10:00 - 11:40
(10) 10:00-10:25 Learning rule-base model by Safe Pattern Pruning IBISML2017-98 Hiroki Kato, Hiroyuki Hanada (Nagoya Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS)
(11) 10:25-10:50 Using local minima to accelerate Krawczyk-Hansen global optimization IBISML2017-99 Hiroaki Takada (Univ. of Tokyo), Kazuki Yoshizoe (RIKEN), Daisuke Ishii (Univ. of Fukui), Koji Tsuda (Univ. of Tokyo)
(12) 10:50-11:15 The improving method of Singular Bayesian information criterion by analyzing learning coefficients IBISML2017-100 Sayaka Suzuki, Souta Shina, Miki Aoyagi (Nihon Univ.)
(13) 11:15-11:40 Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex IBISML2017-101 Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN)
  11:40-13:10 Lunch Break ( 90 min. )
Tue, Mar 6 PM 
13:10 - 14:25
(14) 13:10-13:35 Sonar2image: GAN-based night vision for fish monitoring IBISML2017-102 Kento Shin, Kei Terayama, Katsunori Mizuno, Koji Tsuda (Univ. of Tokyo)
(15) 13:35-14:00 Applicability of Fast Decimation Algorithm
-- Sparse two-parameter Boltzmann machine as a benchmark function --
Daisuke Motoki, Shohei Watabe, Tetsuro Nikuni (Tokyo Univ. of Science)
(16) 14:00-14:25 Natural gradient method by the symmetry in data for complex valued neural networks IBISML2017-104 Junichi Mukuno, Hajime Matsui (Toyota Technological Inst.)

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]
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