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

TA Knijnenburg; MJT Reinders; LFA Wessels

doi:doi:10.1016/j.patrec.2005.10.019

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

TA Knijnenburg, MJT Reinders, LFA Wessels

Multimedia Computing

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Abstract

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 language	Undefined/Unknown
Pages (from-to)	709-714
Number of pages	6
Journal	Pattern Recognition Letters
Volume	27
Issue number	7
DOIs	https://doi.org/doi:10.1016/j.patrec.2005.10.019
Publication status	Published - 2006

Keywords

academic journal papers
CWTS 0.75 <= JFIS < 2.00

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doi:10.1016/j.patrec.2005.10.019

Cite this

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title = "Artifacts of Markov blanket filtering based on discretized features in small sample size applications",

abstract = "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",

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AU - Reinders, MJT

AU - Wessels, LFA

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AB - 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

KW - academic journal papers

KW - CWTS 0.75 <= JFIS < 2.00

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DO - doi:10.1016/j.patrec.2005.10.019

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