IEICE Technical Committee Submission System
Conference Schedule		 Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: Recent 10 Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2022-07-22
14:15		 Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)		 A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory
Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26		 It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] IT2022-26
pp.56-60
IT 2022-07-22
14:40		 Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)		 Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model
Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27		 Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] IT2022-27
pp.61-66
IT 2022-07-22
15:05		 Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)		 Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model
Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28		 Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] IT2022-28
pp.67-72
IBISML 2022-03-08
11:20		 Online Online Tree-Structured Generative Model with Latent Variables and Approximate Variational Bayesian Inference
Naoki Ichijo, Yuta Nakahara (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IBISML2021-33		  [more] IBISML2021-33
pp.19-26
RCS, SIP, IT 2022-01-21
09:00		 Online Online An Approximation by Meta-Tree Boosting Method to Bayesian Optimal Prediction for Decision Tree Model
Wenbin Yu, Koki Kazama, Yuta Nakahara, Naoki Ichijo (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-67 SIP2021-75 RCS2021-235		  [more] IT2021-67 SIP2021-75 RCS2021-235
pp.219-224
IT 2020-12-02
10:00		 Online Online Policy Optimization Based on Bayesian Decision Theory in Learning Period on Markov Decision Process
Naoki Ichijo, Yuta Nakahara, Yuto Motomura, Toshiyasu Matsushima (Waseda Univ.) IT2020-31		 In Markov decision process(MDP) problems with an unknown transition probability, a learning agent has to learn the unkno... [more] IT2020-31
pp.38-43
 Results 1 - 6 of 6  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan