Using evolutionary programming and minimum description length principle for data mining of bayesian networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 21, Issue 2, 1999, Pages 174-178

  Wong, Man Leung ^a,b   Lam, Wai ^a,c   Leung, Kwong Sak ^a,c  

^a IEEE   (Hong Kong)

^b LINGNAN UNIVERSITY   (Hong Kong)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bayesian networks; Evolutionary computation; Genetic algorithms; Minimum description length principle; Unsupervised learning

Indexed keywords

COMPUTER PROGRAMMING; GENETIC ALGORITHMS; INFORMATION THEORY; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION;

BAYESIAN NETWORKS; EVOLUTIONARY PROGRAMMING; MINIMUM DESCRIPTION LENGTH;

KNOWLEDGE ENGINEERING;

EID: 0033076357     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.748825     Document Type: Article

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