Probabilistic reasoning in intelligent systems : networks of plausible inference / Judea Pearl
- 2. ed.
- San Francisco : Morgan Kaufmann, c1991
- XIX, 552 p. : ill. ; 23 cm.
- The Morgan Kaufmann series in representation and reasoning .
Contents - 1. Uncertainty in AI systems: an overwies. 2. Bayesian inference. 3. Markov and bayesian networks. 4. Belief updating by network propagation. 5. Distributed revision of composite beliefs. 6. Decision and control. 7. Taxonomic hierarchies continuous variables, and uncertain probabilities. 8. Learning structure from data. 9. Non-bayesian formalisms for managing uncertainty. 10. Logic and probability: the strange connection
There are no comments for this item.
Log in to your account to post a comment.