Recursive noisy OR - A rule for estimating complex probabilistic interactions

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 6, 2004, Pages 2252-2261

  Lemmer, John F ^a   Gossink, Don E ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Bayes; Causality; Estimation; Uncertainty

Indexed keywords

ESTIMATION; FUZZY SETS; MATHEMATICAL MODELS; PROBABILITY; THEOREM PROVING;

BAYESIAN CAUSAL MODEL; CAUSALITY; CONDITIONAL PROBABILITY TABLES; UNCERTAINTY;

KNOWLEDGE ACQUISITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; EVALUATION; FEEDBACK SYSTEM; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; FEEDBACK; MODELS, STATISTICAL;

EID: 10044293287     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.834424     Document Type: Article

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