Multi-objective feature selection using a Bayesian artificial immune system

Purpose - The purpose of this paper is to apply a multi-objective Bayesian artificial immune system (MOBAIS) to feature selection in classification problems aiming at minimizing both the classification error and cardinality of the subset of features. The algorithm is able to perform a multimodal sea...

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Veröffentlicht in:	International journal of intelligent computing and cybernetics 2010-01, Vol.3 (2), p.235-256
Hauptverfasser:	Castro, Pablo A.D., Von Zuben, Fernando J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Bayesian analysis Classification Computer programming Feature selection Immune system Mutation Optimization Pareto optimum Probability distribution Studies
Online-Zugang:	Volltext
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