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Dynamic classifier selection: Recent advances and perspectives

  • Published:2018-05 Issue: Volume:41 Page:195-216
  • ISSN:1566-2535
  • Container-title:Information Fusion
  • language:en
  • Short-container-title:Information Fusion

Author:

Cruz Rafael M.O.,Sabourin Robert,Cavalcanti George D.C.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference177 articles.

1. A theoretical study on six classifier fusion strategies;Kuncheva;IEEE Trans. Pattern Anal. Mach. Intell.,2002

2. Ensemble methods in machine learning;Dietterich,2000

3. Combining Pattern Classifiers: Methods and Algorithms;Kuncheva,2004

4. Do we need hundreds of classifiers to solve real world classification problems?;Fernández-Delgado;J. Mach. Learn. Res.,2014

5. Popular ensemble methods: an empirical study;Opitz;J. Artif. Intell. Res.,1999

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