Artifacts of Markov blanket filtering based on discretized features in small sample size applications

  • Authors:
  • Theo A. Knijnenburg;Marcel J. T. Reinders;Lodewyk F. A. Wessels

  • Affiliations:
  • Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands;Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands;Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands and Depa ...

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2006

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Abstract

Markov blanket filtering based on discretized features (MBF) has been proposed as a feature selection strategy. Critical evaluation of MBF has demonstrated its contradictory and counterintuitive nature, which results in undesirable properties for small sample size applications such as classification based on microarray gene expression data.