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| Chair |
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Shigeo Sato (Tohoku Univ.) |
| Vice Chair |
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Masafumi Hagiwara (Keio Univ.) |
| Secretary |
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Hiroki Tanaka (Kyoto Sangyo Univ.), Toru Aonishi (Tokyo Inst. of Tech.) |
| Assistant |
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Hisanao Akima (Tohoku Univ.), Yoshihisa Shinozawa (Keio Univ.) |
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| Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) |
[schedule] [select]
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| Chair |
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Kenji Fukumizu (ISM) |
| Vice Chair |
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Masashi Sugiyama (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.) |
| Secretary |
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Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (Nagoya Inst. of Tech.) |
| Assistant |
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Toshihiro Kamishima (AIST), Tomoharu Iwata (NTT) |
|
| Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) |
[schedule] [select]
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| Conference Date |
Mon, Jul 4, 2016 13:30 - 16:10
Tue, Jul 5, 2016 09:30 - 18:30
Wed, Jul 6, 2016 10:00 - 15:45 |
| Topics |
Machine Learning Approach to Biodata Mining, and General |
| Conference Place |
|
| Sponsors |
This conference is co-sponsored by Japanese Neural Network Society and IEEE Computational Intelligence Society Japan Chapter.
|
Copyright
and
reproduction |
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Mon, Jul 4 PM
13:30 - 16:10 |
| (1) |
13:30-13:55 |
|
| (2) |
13:55-14:20 |
|
| (3) |
14:20-14:45 |
|
| (4) |
14:45-15:10 |
|
| |
15:10-15:20 |
Break ( 10 min. ) |
| (5) |
15:20-15:45 |
|
| (6) |
15:45-16:10 |
|
Mon, Jul 4 PM
13:30 - 15:10 |
| (7) |
13:30-13:55 |
|
| (8) |
13:55-14:10 |
|
| (9) |
14:10-14:25 |
|
| (10) |
14:25-14:40 |
|
| (11) |
14:40-14:55 |
|
| (12) |
14:55-15:10 |
|
Tue, Jul 5 AM
09:55 - 11:35 |
| (13) |
09:55-10:20 |
|
| (14) |
10:20-10:45 |
|
| (15) |
10:45-11:10 |
|
| (16) |
11:10-11:35 |
|
Tue, Jul 5 AM
09:30 - 11:35 |
| (17) |
09:30-09:55 |
|
| (18) |
09:55-10:20 |
|
| (19) |
10:20-10:45 |
|
| (20) |
10:45-11:10 |
|
| (21) |
11:10-11:35 |
|
Tue, Jul 5 PM
13:00 - 17:15 |
(1)
IBISML |
13:00-13:25 |
Non-linear Embedded Feature Extraction Method using Comb-shaped Neural Network  IBISML2016-1 |
Akihito Sudo (UT), Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito (ISM), Takahiro Yabe, Yoshihide Sekimoto (UT) |
| (2) |
13:25-13:50 |
|
| (3) |
13:50-14:15 |
|
| |
14:15-14:30 |
Break ( 15 min. ) |
| (4) |
14:30-14:55 |
|
| (5) |
14:55-15:20 |
|
| (6) |
15:20-15:45 |
|
| |
15:45-16:00 |
Break ( 15 min. ) |
(7)
NC |
16:00-16:25 |
A neuromarker of anxiety from whole-brain functional connectivity. NC2016-6 |
Yu Takagi (NAIST/ATR), Yuki Sakai (Kyoto Pref. Univ. Med./ATR), Saori C. Tanaka (ATR) |
(8)
NC |
16:25-16:50 |
Sparse Simultaneous Estimation of Phase Response Curves using Spike-Triggered Average NC2016-7 |
Man Arakaki, Yasuhiko Igarashi (Univ. Tokyo), Toshiaki Omori (Kobe Univ.), Masato Okada (Univ. Tokyo/RIKEN) |
(9)
NC |
16:50-17:15 |
Global structure of the clusters in local cortical circuit with receptive field correlation NC2016-8 |
Kohei Watanabe (Osaka Univ.), Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ./CiNet) |
Tue, Jul 5 PM
17:30 - 18:30 |
(10)
NC |
17:30-18:30 |
[Invited Talk]
Neural mechanisms of adaptive oculomotor control
-- from animal experiments, neuronal circuitry modeling, cerebellum-machine interface to robot control, sleepiness detection, and motor learning promotion -- NC2016-9 |
Yutaka Hirata (Chubu Univ.) |
Wed, Jul 6 AM
10:00 - 11:45 |
| (11) |
10:00-10:25 |
|
| (12) |
10:25-10:50 |
|
| (13) |
10:50-11:15 |
|
| (14) |
11:15-11:30 |
|
| (15) |
11:30-11:45 |
|
Wed, Jul 6 AM
Chair: Eiji Takimoto (Kyushu University)
10:00 - 11:40 |
(16)
IBISML |
10:00-10:25 |
A Supervised Learning Approach to Causal Inference for Bivariate Time Series IBISML2016-2 |
Yoichi Chikahara, Akinori Fujino (NTT) |
(17)
IBISML |
10:25-10:50 |
A Semi-supervised Learning Method for Imbalanced Binary Classification IBISML2016-3 |
Akinori Fujino, Naonori Ueda (NTT) |
(18)
IBISML |
10:50-11:15 |
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling IBISML2016-4 |
Atsushi Shibagaki, Masayuki Karasuyama (NIT), Kohei Hatano (Kyushu Univ.), Ichiro Takeuchi (NIT) |
(19)
IBISML |
11:15-11:40 |
Sparse cross-domain matching correlation analysis via L1 regularization IBISML2016-5 |
Keisuke Kojima (Osaka Univ.), Kei Hirose (Kyushu Univ.), Hidetoshi Shimodaira (Osaka Univ.) |
Wed, Jul 6 PM
13:00 - 15:45 |
(20)
NC |
13:00-13:25 |
Roles of the cerebellum in predictive optokinetic response NC2016-10 |
Shuntaro Miki (Chubu Univ.), Robert Baker (New York Univ.), Yutaka Hirata (Chubu Univ.) |
(21)
NC |
13:25-13:50 |
Development of Oculofeedback system and Microsaccade feedback experiment NC2016-11 |
Joshua Emoto, Yutaka Hirata (Chubu Univ.) |
(22)
NC |
13:50-14:15 |
A model of human color vision for visibility prediction of color scheme NC2016-12 |
Takuya Yoshioka, Yoshihisa Shinozawa (Keio Univ.) |
| |
14:15-14:30 |
Break ( 15 min. ) |
(23)
NC |
14:30-14:55 |
Computational study on the effect of modular topology on synchronized activity in neuronal networks NC2016-13 |
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) |
(24)
NC |
14:55-15:20 |
Classification analysis of high-dimensional data based on L0-norm optimization. NC2016-14 |
Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) |
(25)
NC |
15:20-15:45 |
Feedforward supervised learning for deep neural networks with local competitiveness information NC2016-15 |
Takashi Shinozaki (NICT) |
Wed, Jul 6 PM
Chair: Hiroya Takamura (Tokyo Institute of Technology)
13:00 - 14:15 |
(26)
IBISML |
13:00-13:25 |
A New Probabilistic Topic Model Based on Variable Bin Width Histogram IBISML2016-6 |
Hideaki Kim, Tomoharu Iwata, Hiroshi Sawada (NTT) |
(27)
IBISML |
13:25-13:50 |
Bandit Algorithm For k-Sets Based On Projection And Decomposition IBISML2016-7 |
Ryohei Nagaura, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) |
(28)
IBISML |
13:50-14:15 |
Factor Analysis of Time Series Data by Smoothing DTW Distance IBISML2016-8 |
Kei Amii (Kyoto Univ.) |
| Announcement for Speakers |
| General Talk | Each speech will have 20 minutes for presentation and 5 minutes for discussion. |
| Contact Address and Latest Schedule Information |
| NC |
Technical Committee on Neurocomputing (NC) [Latest Schedule]
|
| Contact Address |
幹事団の担当者を記入のこと |
| IBISML |
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [Latest Schedule]
|
| Contact Address |
|
| IPSJ-MPS |
Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) [Latest Schedule]
|
| Contact Address |
|
| IPSJ-BIO |
Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) [Latest Schedule]
|
| Contact Address |
|
Last modified: 2016-07-05 08:12:26
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