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 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2019-06-14
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. Identification comparison of software fault-prone modules using nonlinear logistic regression models
Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12
In this article, we compare several non-linear logistic regression models used in a fault-prone
identification problem... [more]
R2019-12
pp.19-24
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. An Exhaustive Search with Support Vector Machine (ES-SVM) for sparse variable selection
Daiki Kawabata (UTokyo), Hiroko Ichikawa (TUS), Yasuhiko Igarashi (UTokyo), Kenji Nagata (AIST/JST/UTokyo), Satoshi Eifuku, Ryoi Tamura (Toyama Univ.), Masato Okada (UTokyo) IBISML2016-96
Nagata et al.(2015) has proposed Exhaustive Search with Support Vector Machine(ES-SVM) which calculates a cross validati... [more] IBISML2016-96
pp.361-368
PRMU, HIP 2010-03-16
15:55
Kagoshima Kagoshima Univ. Multiclass Boosting for Early Classification of Sequences
Katsuhiko Ishiguro, Hiroshi Sawada, Hitoshi Sakano (NTT) PRMU2009-316 HIP2009-201
We propose a novel boosting method for early classification of sequences. In many practical problems, we would
like to ... [more]
PRMU2009-316 HIP2009-201
pp.489-494
PRMU 2009-12-18
09:35
Tochigi Fujihara Cultural Center Compressed Pattern Recognition -- A Framework of Pattern Measurement and Analysis Exploiting Sparsity --
Tomoya Sakai (Chiba Univ.) PRMU2009-145
This paper advocates integrating technologies of measurement, compression, encryption, and analysis of patterns into a c... [more] PRMU2009-145
pp.43-48
SIP, SIS, SP 2007-09-27
10:25
Aichi Nagoya Inst. of Tech. Feature Extraction of Multi-fractal Stock Prices generated by Multi-Agent Systems based on the GP Learning and its Applications to the Estimation of Factors dominating Markets Applications to the Estimation of Factors dominating Markets
Yoshikazu Ikeda (Shinshu Univ.), Shozo Tokinaga (Kyushu Univ.) SIP2007-84 SIS2007-20 SP2007-46
This report deals with the multi-fractality analysis of artificial stock prices generated by behaviors of multi-agants u... [more] SIP2007-84 SIS2007-20 SP2007-46
pp.7-12
MBE, NC
(Joint)
2005-12-09
15:20
Aichi   Splitting the feature subset selection of multiclass support vector machines
Xin Hu, Mauricio Kugler (NIT), Anto Satriyo Nugroho (Chukyo Univ.), Susumu Kuroyanagi, Akira Iwata (NIT)
One drawback on the use of Support Vector Machines (SVM) in real
applications is its slow classification speed, proport... [more]
NC2005-86
pp.31-36
 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