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: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IT 2019-07-25
14:50
Tokyo NATULUCK-Iidabashi-Higashiguchi Ekimaeten Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning
Nao Dobashi, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2019-17
In this paper we consider classification problem about discrete category $y$ regarding discrete variables $bm{x}$. Deci... [more] IT2019-17
pp.11-16
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-06
13:40
Fukuoka Fukuoka Univ. [Fellow Memorial Lecture] -
Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] PRMU2010-84 IBISML2010-56
pp.209-214
PRMU 2009-03-13
15:20
Miyagi Tohoku Institute of Technology A Proposal of Ensemble-based Minimum Classification Error Training
Hideyuki Watanabe (NICT/ATR), Shigeru Katagiri, Kohta Yamada (Doshisha Univ.), Atsushi Nakamura, Erik McDermott, Shinji Watanabe (NTT), Shin'ichi Taniguchi, Naho Nishijima, Miho Ohsaki (Doshisha Univ.) PRMU2008-250
We propose an ensemble-based minimum classification error (MCE) training method to combine multiple weak classifiers in ... [more] PRMU2008-250
pp.71-76
PRMU, NLC 2005-02-24
11:00
Tokyo   Optimal combination of labeled and unlabeled data for semi-supervised classification
Akinori Fujino, Naonori Ueda, Kazumi Saito (NTT)
Unlabeled data are used to improve the accuracy of classifiers when the number of labeled data is not enough. In probabi... [more] NLC2004-100 PRMU2004-182
pp.19-24
 Results 1 - 5 of 5  /   
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