Описание слайда:
БСД: литература
Статьи
Pearl J. (1985). How to Do with Probabilities what People Say You Can't. Artificial Intelligence Applications. Ed. Weisbin C.R., IEEE, North Holland, pp. 6--12.
Pearl J. (1986). Fusion, Propagation, and Structuring in Belief Networks. Artificial Intelligence, vol. 29. Elsevier Science Publishers B.V., North Holland, pp. 241--288.
Pearl J. (1986a). Constraint-Propagation Approach to Probabilistic Reasoning. Machine Intelligence & Pattern Recognition (Uncertainty in Artificial Intelligence). Eds. Kanal L.N., Lemmer J.F. Vol. 4, Elsevier Science Publishers B.V., North Holland, pp. 357--369.
Pearl J. (1986b). On Evidentional Reasoning in Hierarchy of Hypotheses. Artificial Intelligence, vol. 28. Elsevier Science Publishers B.V., North Holland, pp. 9--15.
Pearl J. (1986c). Distributed Revision of Composite Beliefs. Artificial Intelligence, vol. 33. Elsevier Science Publishers B.V., North Holland, pp. 173--215.
Монографии
Pearl J. (1988). Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann Publishers, 552 pp.
Pearl J. (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press, 386 pp.
Jensen F.V.(2001). Bayesian Networks and Decision Graphs. Springer-Verlag, NY. 268 pp.
Korb K.B., Nicholson A.E. (2004). Bayesian Artificial Intelligence. Chapman and Hall/CRC, 364 pp.
Kyburg H.E. Jr. (2001). Uncertain Inference. Cambridge University Press, 298 pp.
Lauritzen, S. L. (1996). Graphical Models, Oxford University Press, Oxford, 1996.
Neapolitan R.E. (2004). Learning Bayesian Networks. Pearson Prentice Hall, 674 pp.
Nilsson N.J. (1998). Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publishers, 514 pp.