Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2015-01-23 09:50
Analysis of Minimum Classification Error Training using Bit-String-Based Genetic Algorithms
Hiroto Togoe (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri (Doshisha Univ.), Xugang Lu, Chiori Hori (NICT), Miho Ohsaki (Doshisha Univ.) PRMU2014-100 MVE2014-62
Abstract (in Japanese) (See Japanese page) 
(in English) Minimum Classification Error (MCE) training using gradient-descent-based loss minimization does not guarantee a global minimum of loss. To solve this problem, MCE training using a real-coded Genetic Algorithm (GA), which is considered suitable for global minimization, was investigated. However, its utility was not clearly demonstrated. In this paper, we newly apply another type of GA, i.e., a bit-string-based GA, to MCE training. From experiments, where such key features of MCE training as the smoothness of the classification error count loss were systematically controlled, we elaborate the nature of bit-string-based loss minimization for MCE training and show that GA-based minimization is not necessarily superior to handy gradient-descent-based minimization.
Keyword (in Japanese) (See Japanese page) 
(in English) Minimum classification error training / Global loss minimization / Genetic algorithms / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 409, PRMU2014-100, pp. 171-176, Jan. 2015.
Paper # PRMU2014-100 
Date of Issue 2015-01-15 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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)
Download PDF PRMU2014-100 MVE2014-62

Conference Information
Committee PRMU IPSJ-CVIM MVE  
Conference Date 2015-01-22 - 2015-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2015-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Minimum Classification Error Training using Bit-String-Based Genetic Algorithms 
Sub Title (in English)  
Keyword(1) Minimum classification error training  
Keyword(2) Global loss minimization  
Keyword(3) Genetic algorithms  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroto Togoe  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Hideyuki Watanabe  
2nd Author's Affiliation National Institute of Information and Communications Technology (NICT)
3rd Author's Name Shigeru Katagiri  
3rd Author's Affiliation Doshisha University (Doshisha Univ.)
4th Author's Name Xugang Lu  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Chiori Hori  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Miho Ohsaki  
6th Author's Affiliation Doshisha University (Doshisha Univ.)
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2015-01-23 09:50:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2014-100, MVE2014-62 
Volume (vol) vol.114 
Number (no) no.409(PRMU), no.410(MVE) 
Page pp.171-176 
#Pages 6 
Date of Issue 2015-01-15 (PRMU, MVE) 

[Return to Top Page]

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