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

Internet

http://scholarbank.nus.edu.sg/handle/10635/53979

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