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

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

Intelligent Data Analysis

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Bibliographic Details
Main Authors:	Tay, F.E.H., Cao, L.J.
Other Authors:	MECHANICAL ENGINEERING
Format:	Article
Published:	2014
Subjects:	feature selection genetic algorithm saliency analysis structural risk minimization principle support vector machines
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/53979
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Institution:	National University of Singapore

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