IEICE Technical Committee Submission System
Advance Program
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top  Go Back   Prev IBISML Conf / Next IBISML Conf [HTML] / [HTML(simple)] / [TEXT]  [Japanese] / [English] 


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

Conference Date Thu, Jan 9, 2020 13:00 - 17:35
Fri, Jan 10, 2020 11:00 - 14:30
Topics Machine learning, etc. 
Conference Place The Institute of Statistical Mathematics 
Address 10-3, Midori-cho, Tachikawa-shi, 190-8562 Japan.
Transportation Guide https://www.ism.ac.jp/access/index_e.html
Contact
Person
ISM, Hideitsu Hino
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)
Registration Fee This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on IBISML.

Thu, Jan 9 PM  Machine Learning
13:00 - 14:40
(1) 13:00-13:25 Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures IBISML2019-18 Takumi Watanabe, Sumio Watanabe (Tokyo Tech)
(2) 13:25-13:50 Real Log Canonical Threshold of Three Layered Neural Network with Swish Activation Function IBISML2019-19 Raiki Tanaka, Sumio Watanabe (Tokyo Tech)
(3) 13:50-14:15 Dimensionality reduction method for gaussian process posteriors based on information geometry IBISML2019-20 Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN)
(4) 14:15-14:40 Statistical Learning Theory of Data changed in Value IBISML2019-21 Satoshi Kataoka (Titech)
Thu, Jan 9 PM  Machine Learning
14:55 - 17:35
(5) 14:55-15:20 Approximation Ratios of Graph Neural Networks for Combinatorial Problems IBISML2019-22 Ryoma Sato, Makoto Yamada, Hisashi Kashima (Kyoto Univ.)
(6) 15:20-15:45 Robust recovery of highly corrupted low-rank matrix via augmented Lagrangian multiplier IBISML2019-23 Tuersunjiang Yimamu, Toshio Eisaka (Kitami Inst. of Tech.)
(7) 15:45-16:10 IBISML2019-24
  16:10-16:20 Break ( 10 min. )
(8) 16:20-16:45 Evaluation of effective degree of freedom of physical model by learning capacity IBISML2019-25 Yoh-ichi Mototake (ISM), Kenji Nagata (NIMS)
(9) 16:45-17:10 Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis IBISML2019-26 Y-h. Taguchi (Chuo Univ.)
(10) 17:10-17:35 An Implementation of Artificial General Intelligence based on motion information extracted from video IBISML2019-27 Kenichi Koike
Fri, Jan 10 AM  Machine Learning
11:00 - 11:50
(11) 11:00-11:25 Hybrid authentication model using handwritten images by Siamese Network and dynamic information IBISML2019-28 Daisuke Hayashi, Taisuke Kawamata, Toru Kano, Takako Akakura (TUS)
(12) 11:25-11:50 Real-time 3D localization of multifocal plane microscopy using deep neural network IBISML2019-29 Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.)
Fri, Jan 10 PM  Machine Learning
13:15 - 14:30
(13) 13:15-13:40 A Change Detection Method based on Temporal Variation of Subspace Geometry IBISML2019-30 Honami Kanamori, Naoya Sogi, Kazuhiro Fukui (Univ. Tsukuba)
(14) 13:40-14:05 Non-compensatory Temporal IRT with Local Variational Approximation IBISML2019-31 Hiroshi Tamano (NEC/SOKENDAI), Daichi Mochihashi (ISM)
(15) 14:05-14:30 Active learning for multiple data selection using reinforcement learning IBISML2019-32 Yuusuke Taguchi (Univ. of Tsukuba), Hideitsu Hino (ISM), Keisuke Kameyama (Univ. of Tsukuba)

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: 2019-11-18 09:31:54


Notification: Mail addresses are partially hidden against SPAM.

[Download Paper's Information (in Japanese)] <-- Press download button after click here.
 
[Cover and Index of IEICE Technical Report by Issue]
 

[Presentation and Participation FAQ] (in Japanese)
 

[Return to IBISML Schedule Page]   /  
 
 Go Top  Go Back   Prev IBISML Conf / Next IBISML Conf [HTML] / [HTML(simple)] / [TEXT]  [Japanese] / [English] 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan