Dynamic selection of classifiers—A comprehensive review

Author:

Britto Alceu S.,Sabourin Robert,Oliveira Luiz E.S.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Araucária

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

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2. T.G. Dietterich, Ensemble methods in machine learning, in: Multiple Classifier Systems, Lecture Notes in Computer Science, vol. 1857, Springer, Berlin, Heidelberg, 2000, pp. 1–15.

3. Complexity measures of supervised classification problems;Ho;IEEE Trans. Pattern Anal. Mach. Intell.,2002

4. An analysis of how training data complexity affects the nearest neighbor classifiers;Sanchez;Pattern Anal. Appl.,2007

5. G.D.C. Cavalcanti, T.I. Ren, B.A. Vale, Data complexity measures and nearest neighbor classifiers: a practical analysis for meta-learning, in: IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI), 2012, vol. 1, 2012, pp. 1065–1069.

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