Feature selection combining genetic algorithm and Adaboost classifiers

This paper presents a fast method using simple genetic algorithms (GAs) for features selection. Unlike traditional approaches using GAs, we have used the combination of Adaboost classifiers to evaluate an individual of the population. So, the fitness function we have used is defined by the error rat...

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Bibliographic Details

Published in:	2008 19th International Conference on Pattern Recognition pp. 1 - 4
Main Authors:	Chouaib, H., Terrades, O.R., Tabbone, S., Cloppet, F., Vincent, N.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2008
Subjects:	Biological cells Costs Diversity reception Electronic mail Filters Genetic algorithms Machine learning Neural networks Pattern recognition Spatial databases
ISBN:	9781424421749, 1424421748
ISSN:	1051-4651
Online Access:	Get full text
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