A comparison of quadratic programming solvers in support vector machines training

Training a Support Vector Machine requires the solution of a very large quadratic programming problem. In order to study the influence of a particular quadratic programming solver on the Support Vector Machine, three different quadratic programming solvers are used to perform the Support Vector Mach...

Full description

Saved in:
Bibliographic Details
Main Authors: Zaki, N. M., Deris, S., Chin, K. K.
Format: Article
Language:en
Published: Penerbit UTM Press 2003
Subjects:
Online Access:http://eprints.utm.my/2082/1/JTMKK39%28D%29bab4.pdf
http://eprints.utm.my/2082/
http://www.penerbit.utm.my/onlinejournal/39/D/JTMKK39D04.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1845470610164023296
author Zaki, N. M.
Deris, S.
Chin, K. K.
author_facet Zaki, N. M.
Deris, S.
Chin, K. K.
author_sort Zaki, N. M.
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description Training a Support Vector Machine requires the solution of a very large quadratic programming problem. In order to study the influence of a particular quadratic programming solver on the Support Vector Machine, three different quadratic programming solvers are used to perform the Support Vector Machine training. The performance of these solvers in term of execution time and quality of the solutions are analyzed and compared. A practical method to reduce the training time is investigated.
format Article
id my.utm.eprints-2082
institution Universiti Teknologi Malaysia
language en
publishDate 2003
publisher Penerbit UTM Press
record_format eprints
spelling my.utm.eprints-20822017-11-01T04:17:40Z http://eprints.utm.my/2082/ A comparison of quadratic programming solvers in support vector machines training Zaki, N. M. Deris, S. Chin, K. K. QA76 Computer software Training a Support Vector Machine requires the solution of a very large quadratic programming problem. In order to study the influence of a particular quadratic programming solver on the Support Vector Machine, three different quadratic programming solvers are used to perform the Support Vector Machine training. The performance of these solvers in term of execution time and quality of the solutions are analyzed and compared. A practical method to reduce the training time is investigated. Penerbit UTM Press 2003-12 Article PeerReviewed application/pdf en http://eprints.utm.my/2082/1/JTMKK39%28D%29bab4.pdf Zaki, N. M. and Deris, S. and Chin, K. K. (2003) A comparison of quadratic programming solvers in support vector machines training. Jurnal Teknologi D (39D). pp. 45-56. ISSN 0127-9696 http://www.penerbit.utm.my/onlinejournal/39/D/JTMKK39D04.pdf
spellingShingle QA76 Computer software
Zaki, N. M.
Deris, S.
Chin, K. K.
A comparison of quadratic programming solvers in support vector machines training
title A comparison of quadratic programming solvers in support vector machines training
title_full A comparison of quadratic programming solvers in support vector machines training
title_fullStr A comparison of quadratic programming solvers in support vector machines training
title_full_unstemmed A comparison of quadratic programming solvers in support vector machines training
title_short A comparison of quadratic programming solvers in support vector machines training
title_sort comparison of quadratic programming solvers in support vector machines training
topic QA76 Computer software
url http://eprints.utm.my/2082/1/JTMKK39%28D%29bab4.pdf
http://eprints.utm.my/2082/
http://www.penerbit.utm.my/onlinejournal/39/D/JTMKK39D04.pdf
url_provider http://eprints.utm.my/