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Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context.

Oscar Gabriel Reyes PupoCarlos MorellSebastián Ventura
Published in: Neurocomputing (2015)
Keyphrases
  • learning algorithm
  • neural network
  • feature selection
  • similarity measure
  • genetic programming
  • expectation maximization
  • graph cuts
  • support vector machine svm
  • machine learning methods