Multi Objective Genetic Algorithm Classifier Combination Systems
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1. Dilema da diversidade-acurácia: um estudo empírico no contexto de multiclassificadores
Multi-classifier systems, also known as ensembles, have been widely used to solve several problems, because they, often, present better performance than the individual classifiers that form these systems. But, in order to do so, its necessary that the base classifiers to be as accurate as diverse among themselves this is also known as diversity/accuracy dile
Publicado em: 2008