Feature selection and classification via a GA-SVM hybrid

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008

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Bibliographic Details
Main Authors: Teoh, E.-J., Xiang, C.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Conference or Workshop Item
Published: 2014
Subjects:
EA
GA
SVM
Online Access:http://scholarbank.nus.edu.sg/handle/10635/51166
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-511662018-06-12T02:19:54Z Feature selection and classification via a GA-SVM hybrid Teoh, E.-J. Xiang, C. ELECTRICAL & COMPUTER ENGINEERING Classification EA Feature selection GA Hybrid SVM Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008 83-89 2014-04-24T08:35:11Z 2014-04-24T08:35:11Z 2008 Conference Paper Teoh, E.-J., Xiang, C. (2008). Feature selection and classification via a GA-SVM hybrid. Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008 : 83-89. ScholarBank@NUS Repository. 1601320698 http://scholarbank.nus.edu.sg/handle/10635/51166 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Classification
EA
Feature selection
GA
Hybrid
SVM
spellingShingle Classification
EA
Feature selection
GA
Hybrid
SVM
Teoh, E.-J.
Xiang, C.
Feature selection and classification via a GA-SVM hybrid
description Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
Teoh, E.-J.
Xiang, C.
format Conference or Workshop Item
author Teoh, E.-J.
Xiang, C.
author_sort Teoh, E.-J.
title Feature selection and classification via a GA-SVM hybrid
title_short Feature selection and classification via a GA-SVM hybrid
title_full Feature selection and classification via a GA-SVM hybrid
title_fullStr Feature selection and classification via a GA-SVM hybrid
title_full_unstemmed Feature selection and classification via a GA-SVM hybrid
title_sort feature selection and classification via a ga-svm hybrid
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/51166
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