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Improving Boosting Methods by Generating Specific Training and Validation Sets.

Joaquín Torres-SospedraCarlos Hernández-EspinosaMercedes Fernández-Redondo
Published in: ICONIP (2) (2011)
Keyphrases
  • computational cost
  • significant improvement
  • benchmark datasets
  • neural network
  • cross validation
  • qualitative and quantitative
  • ensemble methods
  • preprocessing
  • multi class
  • test set
  • machine learning methods