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Paper Abstract and Keywords
Presentation 2010-11-04 15:00
[Poster Presentation] A Study on Simultaneous Feature Selection for Cost-Sensitive Classifiers Using Mixed-Norm Regularization
Toru Sugiura, Kazuaki Koide, Tatsuya Hongo, Masayuki Karasuyama, Ichiro Takeuchi (NIT) IBISML2010-70
Abstract (in Japanese) (See Japanese page) 
(in English) Cost-sensitive learning is useful for binary classification when the
costs of miss-classifications are not symmetric. In this report, we study the problem of selecting a common set of features when several binary classifiers with different costs are trained. To this end, we introduce mixed norm regularization framework and formulate the problem as a regularized empirical risk minimization. We also develop its regularization-path following algorithm, and show that the path of the optimal solutions has piecewise-constant form. A simple simulation study was conducted to illustrate the effectiveness of the presented approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Cost-sensitive learning / mixed-norm regularization / support vector machine / linear programming / parametric programming / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 265, IBISML2010-70, pp. 83-90, Nov. 2010.
Paper # IBISML2010-70 
Date of Issue 2010-10-28 (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)
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Conference Information
Committee IBISML  
Conference Date 2010-11-04 - 2010-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) IIS, Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IBIS 2010 (Workshop on Information-based Induction Sciences) 
Paper Information
Registration To IBISML 
Conference Code 2010-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Simultaneous Feature Selection for Cost-Sensitive Classifiers Using Mixed-Norm Regularization 
Sub Title (in English)  
Keyword(1) Cost-sensitive learning  
Keyword(2) mixed-norm regularization  
Keyword(3) support vector machine  
Keyword(4) linear programming  
Keyword(5) parametric programming  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toru Sugiura  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Kazuaki Koide  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Tatsuya Hongo  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
4th Author's Name Masayuki Karasuyama  
4th Author's Affiliation Nagoya Institute of Technology (NIT)
5th Author's Name Ichiro Takeuchi  
5th Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2010-11-04 15:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2010-70 
Volume (vol) vol.110 
Number (no) no.265 
Page pp.83-90 
#Pages
Date of Issue 2010-10-28 (IBISML) 


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