Paper Abstract and Keywords |
Presentation |
2007-03-14 11:20
On Variable Selection in Decomposition Methods for Support Vector Machines
-- Proposal and Experimental Evaluation of a Novel Variable Selection based on Conjugate Gradient Method -- Yusuke Kawazoe (Kyushu Univ.), Masashi Kuranoshita (FUJIFILM), Norikazu Takahashi, Jun'ichi Takeuchi (Kyushu Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Learning of a support vector machine (SVM) is formulated as a quadratic
programming (QP) problem. Decomposition methods such as sequential minimal optimization algorithm and SVM${}^{\rm light}$ are efficient iterative techniques for solving QP problems arising in SVMs. In each step, the decomposition method chooses a small number of variables and then solves the QP problem with respect to those selected variables. In this report, we propose a novel variable selection method based on conjugate gradient method and evaluate its effectiveness by using several benchmark data on both pattern classification and regression
problems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
support vector machine / quadratic programming problem / decomposition method / working set selection / convergence / / / |
Reference Info. |
IEICE Tech. Rep., vol. 106, no. 588, NC2006-139, pp. 127-132, March 2007. |
Paper # |
NC2006-139 |
Date of Issue |
2007-03-07 (NC) |
ISSN |
Print edition: ISSN 0913-5685 |
Download PDF |
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Conference Information |
Committee |
NC |
Conference Date |
2007-03-14 - 2007-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NC |
Conference Code |
2007-03-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
On Variable Selection in Decomposition Methods for Support Vector Machines |
Sub Title (in English) |
Proposal and Experimental Evaluation of a Novel Variable Selection based on Conjugate Gradient Method |
Keyword(1) |
support vector machine |
Keyword(2) |
quadratic programming problem |
Keyword(3) |
decomposition method |
Keyword(4) |
working set selection |
Keyword(5) |
convergence |
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1st Author's Name |
Yusuke Kawazoe |
1st Author's Affiliation |
Kyushu University (Kyushu Univ.) |
2nd Author's Name |
Masashi Kuranoshita |
2nd Author's Affiliation |
FUJIFILM (FUJIFILM) |
3rd Author's Name |
Norikazu Takahashi |
3rd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
4th Author's Name |
Jun'ichi Takeuchi |
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Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2007-03-14 11:20:00 |
Presentation Time |
20 minutes |
Registration for |
NC |
Paper # |
NC2006-139 |
Volume (vol) |
vol.106 |
Number (no) |
no.588 |
Page |
pp.127-132 |
#Pages |
6 |
Date of Issue |
2007-03-07 (NC) |