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Paper Abstract and Keywords
Presentation 2012-03-16 14:10
A Perceptron Learning Rule for Locally Improving the ROC Curve
Akiyuki Kuwabara (Univ. of Tsukuba) NC2011-189
Abstract (in Japanese) (See Japanese page) 
(in English) A single-layer perceptron can not give perfect answers to massive linearly inseparable training examples. In such situations, the ROC curve can be used to evaluate classifiers' performance. To plot the ROC curve, all scorings of training examples are needed. Therefore, batch learning is normally used to improve the ROC curve. In this study, we propose a simple online perceptron learning rule for locally improving the ROC curve.
Keyword (in Japanese) (See Japanese page) 
(in English) perceptron / linear classifier / ROC curve / pAUC maximization / online learning / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 483, NC2011-189, pp. 399-404, March 2012.
Paper # NC2011-189 
Date of Issue 2012-03-07 (NC) 
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 NC2011-189

Conference Information
Committee MBE NC  
Conference Date 2012-03-14 - 2012-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2012-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Perceptron Learning Rule for Locally Improving the ROC Curve 
Sub Title (in English)  
Keyword(1) perceptron  
Keyword(2) linear classifier  
Keyword(3) ROC curve  
Keyword(4) pAUC maximization  
Keyword(5) online learning  
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1st Author's Name Akiyuki Kuwabara  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2012-03-16 14:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2011-189 
Volume (vol) vol.111 
Number (no) no.483 
Page pp.399-404 
#Pages 6 
Date of Issue 2012-03-07 (NC) 

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