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Paper Abstract and Keywords
Presentation 2011-09-05 11:30
Learning of Kernel Classfier based on General Loss Minimization
Masato Ishii, Atsushi Sato (NEC) PRMU2011-61 IBISML2011-20
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a new method for learning kernel classifiers. First, we formulate a novel learning scheme called ``General Loss Minimization (GLM).'' The formulation is based on Bayes decision theory which can handle various losses as well as prior probabilities. Then, we propose a new learning method for kernel classifiers derived from GLM. We also show that support vector machines (SVM) can be derived from GLM as a special case. The derivation clarifies some interesting similarities and differences between SVM and the proposed method. Finally, we confirm effectiveness of the proposed method in expriments with artificial and real databases. The exprimental results show that the proposed method achieves almost the same or better accuracy than SVM in spite of stronger sparsity of classifier parameters.
Keyword (in Japanese) (See Japanese page) 
(in English) machine learning / kernel classifiers / learning criterion / support vector machines / minimum classification error / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 193, PRMU2011-61, pp. 23-30, Sept. 2011.
Paper # PRMU2011-61 
Date of Issue 2011-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 PRMU2011-61 IBISML2011-20

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2011-09-05 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2011-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning of Kernel Classfier based on General Loss Minimization 
Sub Title (in English)  
Keyword(1) machine learning  
Keyword(2) kernel classifiers  
Keyword(3) learning criterion  
Keyword(4) support vector machines  
Keyword(5) minimum classification error  
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1st Author's Name Masato Ishii  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Atsushi Sato  
2nd Author's Affiliation NEC Corporation (NEC)
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Speaker
Date Time 2011-09-05 11:30:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2011-61,IEICE-IBISML2011-20 
Volume (vol) IEICE-111 
Number (no) no.193(PRMU), no.194(IBISML) 
Page pp.23-30 
#Pages IEICE-8 
Date of Issue IEICE-PRMU-2011-08-29,IEICE-IBISML-2011-08-29 


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