Title
Artifacts of Markov blanket filtering based on discretized features in small sample size applications
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.
Year
DOI
Venue
2006
10.1016/j.patrec.2005.10.019
Pattern Recognition Letters
Keywords
Field
DocType
pattern recognition,undesirable property,feature selection strategy,critical evaluation,small sample size application,microarray gene expression data,discretized feature,counterintuitive nature,feature evaluation and selection,feature selection
Discretization,Counterintuitive,Data mining,Feature selection,Pattern recognition,Computer science,Filter (signal processing),Artificial intelligence,Markov blanket,Microarray gene expression,Sample size determination
Journal
Volume
Issue
ISSN
27
7
Pattern Recognition Letters
Citations 
PageRank 
References 
4
0.41
3
Authors
3
Name
Order
Citations
PageRank
Theo A. Knijnenburg1585.56
Marcel J. T. Reinders21556104.09
Lodewyk F A Wessels333722.28