Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles - researchr publication authors

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Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto. Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008. pages 1480-1487, IEEE, 2008. [doi]

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