Learning Bayesian networks. II. A computational algorithm

Proceedings of the 5th International Conference on Information Fusion, FUSION 2002

Volumn 2, Issue , 2002, Pages 777-783

  Pan, Heping ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Bayesian networks; causahty discovery; conditional independence test; global optimization; Learning

Indexed keywords

BAYESIAN NETWORKS; DIRECTED GRAPHS; GLOBAL OPTIMIZATION; INFORMATION FUSION;

BAYESIAN NETWORK MODELS; CAUSAHTY DISCOVERY; COMPUTATIONAL ALGORITHM; CONDITIONAL INDEPENDENCE TESTS; DIRECTED ACYCLIC GRAPH (DAG); LEARNING; LEARNING BAYESIAN NETWORKS; STRUCTURE REFINEMENTS;

ALGORITHMS;

EID: 17744392028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2002.1020885     Document Type: Conference Paper

References (3)

1. H.-P. Pan, "Learning Bayesian networks: I - a theory based on MAP and MDL criteria," in 5th International Conference on Information Fusion, submitted, (Anapolis, Maryland, USA), 2002.
2. J. Pearl, Probabilistic Reasoning in Intelligence Systems, San Francisco: Morgan Kaufinann, 1988.
3. I. Beinlich, H. Suermondt, R. Chavez, and G. Cooper, "The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks," in Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine, pp. 247-256,1989.