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The implication of data diversity for a classifier-free ensemble selection in random subspaces.

Albert Hung-Ren KoRobert SabourinLuiz E. Soares de OliveiraAlceu de Souza Britto Jr.
Published in: ICPR (2008)
Keyphrases
  • data sets
  • training data
  • data analysis
  • input data
  • decision trees
  • high dimensional data
  • random subspaces
  • support vector
  • pairwise
  • upper bound
  • training samples
  • data fusion