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

TA Knijnenburg, MJT Reinders, LFA Wessels

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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. Keywords: Pattern recognition; Feature evaluation and selection
Original languageUndefined/Unknown
Pages (from-to)709-714
Number of pages6
JournalPattern Recognition Letters
Issue number7
Publication statusPublished - 2006


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