A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines

Intelligent Data Analysis

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Main Authors: Tay, F.E.H., Cao, L.J.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/53979
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-539792015-02-12T03:27:52Z A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines Tay, F.E.H. Cao, L.J. MECHANICAL ENGINEERING feature selection genetic algorithm saliency analysis structural risk minimization principle support vector machines Intelligent Data Analysis 5 3 191-209 2014-06-16T09:24:47Z 2014-06-16T09:24:47Z 2001 Article Tay, F.E.H.,Cao, L.J. (2001). A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines. Intelligent Data Analysis 5 (3) : 191-209. ScholarBank@NUS Repository. 1088467X http://scholarbank.nus.edu.sg/handle/10635/53979 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic feature selection
genetic algorithm
saliency analysis
structural risk minimization principle
support vector machines
spellingShingle feature selection
genetic algorithm
saliency analysis
structural risk minimization principle
support vector machines
Tay, F.E.H.
Cao, L.J.
A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
description Intelligent Data Analysis
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
Tay, F.E.H.
Cao, L.J.
format Article
author Tay, F.E.H.
Cao, L.J.
author_sort Tay, F.E.H.
title A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
title_short A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
title_full A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
title_fullStr A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
title_full_unstemmed A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
title_sort comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/53979
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