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Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).

Md. Shamsul HudaJohn YearwoodAndrew Stranieri
Published in: NSS (2010)
Keyphrases
  • feature selection
  • artificial neural networks
  • input variables
  • black box
  • neural network
  • support vector
  • feature space
  • language model
  • input data
  • genetic algorithm
  • information gain
  • filtering algorithm