ListarDIAN-Artículos, capítulos... por tema "Classifier ensembles"
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A general framework for boosting feature subset selection algorithms
(Elsevier, 2018)Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ... -
Nonlinear Boosting Projections for Ensemble Construction
(Dale Schuurmans, 2007)In this paper we propose a novel approach for ensemble construction based on the use of nonlinear projections to achieve both accuracy and diversity of individual classifiers. The proposed approach combines the philosophy ...