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Paper Abstract and Keywords
Presentation 2007-11-22 11:55
On Global Convergence of Decomposition Methods for Support Vector Regression
Jun Guo (Kyushu Univ./JSPS), Norikazu Takahashi (Kyushu Univ.) NLP2007-96
Abstract (in Japanese) (See Japanese page) 
(in English) To solve the large size quadratic programming (QP) problems arising in support vector regression (SVR) efficiently, decomposition methods are usually used. In a decomposition method, a large QP problem is decomposed
into a series of smaller QP subproblems, which can be solved much faster
than the original one. In this report, we consider the global convergence
of decomposition methods for SVR. We will show the decomposition methods for the convex programming problem formulated by Flake and Lawrence always stop within a finite number of iterations.
Keyword (in Japanese) (See Japanese page) 
(in English) support vector regression / decomposition method / global convergence / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 349, NLP2007-96, pp. 7-12, Nov. 2007.
Paper # NLP2007-96 
Date of Issue 2007-11-15 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NLP  
Conference Date 2007-11-22 - 2007-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NLP 
Conference Code 2007-11-NLP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Global Convergence of Decomposition Methods for Support Vector Regression 
Sub Title (in English)  
Keyword(1) support vector regression  
Keyword(2) decomposition method  
Keyword(3) global convergence  
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1st Author's Name Jun Guo  
1st Author's Affiliation Kyushu University (Kyushu Univ./JSPS)
2nd Author's Name Norikazu Takahashi  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2007-11-22 11:55:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2007-96 
Volume (vol) vol.107 
Number (no) no.349 
Page pp.7-12 
#Pages
Date of Issue 2007-11-15 (NLP) 


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