DocumentCode
2632000
Title
Optimal feature selection based on Bayesian networks
Author
Zhao, Hui ; Ming Xiao ; Xiao, Ming
Author_Institution
Central China Normal Univ., Wuhan
Volume
2
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
597
Lastpage
601
Abstract
Focusing on feature selection in classification, we investigate some popular methods which are based on learning the structure of Markov blanket for the classification variable in a Bayesian network and propose two new algorithms. Initial experiments demonstrate their advantages over some existing well known methods.
Keywords
Markov processes; belief networks; pattern classification; Bayesian networks; Markov blanket; optimal feature selection; pattern classification; Algorithm design and analysis; Bayesian methods; Information analysis; Input variables; Iterative algorithms; Mathematics; Notice of Violation; Pattern analysis; Pattern recognition; Wavelet analysis; Bayesian networks; Feature selection; Markov blanket; conditional independence;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420739
Filename
4420739
Link To Document