Method of learning implication networks from empirical data: algorithm and Monte-Carlo simulation-based validation

IEEE Transactions on Knowledge and Data Engineering

Volumn 9, Issue 6, 1997, Pages 990-1004

  Liu, Jiming ^a   Desmarais, Michel C ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; KNOWLEDGE ENGINEERING; MATRIX ALGEBRA; MONTE CARLO METHODS; NEURAL NETWORKS; PROBABILITY;

PEARLS STOCHASTIC SIMULATION METHOD; PROBABILISTIC REASONING METHOD;

LEARNING ALGORITHMS;

EID: 0031273002     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/69.649321     Document Type: Article

References (17)

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3. D. Hecherman Probabilistic Similarity Networks, 1991 Cambridge, Mass.:
4. J. Pearl Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. 1988 San Mateo, Calif.:
5. G. Shafer A Mathematical Theory of Evidence. 1976 Princeton, N.J.: