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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Veröffentlicht in:	2008 19th International Conference on Pattern Recognition S. 1 - 4
Hauptverfasser:	Chouaib, H., Terrades, O.R., Tabbone, S., Cloppet, F., Vincent, N.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2008
Schlagworte:	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-Zugang:	Volltext
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