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Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles.

Anne M. P. CanutoMárjory C. C. AbreuLucas de Melo OliveiraJoão Carlos Xavier Jr.Araken M. Santos
Published in: Pattern Recognit. Lett. (2007)
Keyphrases
  • ensemble members
  • ensemble methods
  • uncertainty sampling
  • neural network ensemble
  • lower bound
  • classification accuracy
  • benchmark datasets
  • information fusion
  • generalization error
  • fusion method