Geração Automática de Conjuntos de Classificadores Através da Seleção de Características não Supervisionada
(Generating Ensemble of Classifiers through Unsupervised Feature Selection)
Marisa Morita (firstname.lastname@example.org)1, Luiz S. Oliveira (email@example.com)2, Robert Sabourin (firstname.lastname@example.org)3
1HSBC Bank, Curitiba, Pr, Brasil2Universidade Tuitui do Parana, Curitiba, PR, Brasil3Ecole de Technologie Superieure, Montreal, QC, Canada
This paper appears in: Revista IEEE América Latina
Publication Date: Dec. 2005
Volume: 3, Issue: 5
In this paper we propose a strategy to create ensemble of classifiers based on unsupervised features selection. It takes into account a hierarchical multi-objective genetic algorithm that generates a set of classifiers by performing feature selection and then combines them to provide a set of powerful ensembles. The proposed method is evaluated in the context of handwritten month word recognition, using three different feature sets and Hidden Markov Models as classifiers. Comprehensive experiments demonstrate the effectiveness of the proposed strategy.
Ensemble of Classifiers, Unsupervised Feature Selection, Handwriting Recognition.
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