Sparsity-driven weighted ensemble classifier

2 Oct 2016 Atilla Ozgur Hamit Erdem Fatih Nar

In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which base classifiers votes according to assigned weights is formed... (read more)

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