6. Bibliographie
- Calot , G. 1967 . Cours de calcul des probabilités, Dunod décision, Paris
- Cheeseman , P. 1983 . 198 – 202 . ≪A Method of Computing Generalized Bayesian Probability Values For Expert Systems≫, in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe
- Cooper , G. F. 1984 . ≪Nestor: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge≫, Ph. D. Department of Computer Science, Standford University
- Cooper , G. F. 1990 . 393 – 405 . Elsevier Science Publishers . ≪The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks≫, Artificial Intelligence, 42, North-Holland
- Feller , W. 1967 . An Introduction to Probability Theory and Its Applications, John Wiley and Sons, New-York
- Geiger , D. , Verma , T. and Pearl , J. 1990 . 507 – 534 . ≪Identifying≫Independence in Bayesian Networks≫, Networks, vol 20
- Haton , J-P. , Bouzid , N. , Charpillet , F. , Haton , M-C. , Lâasri , B. , Lâasri , H. , Marquis , P. , Mondot , T. and Napoli , A. 1991 . Le raisonnement en intelligence artificielle, InterEditions, Paris
- Heckerman , D. , Mamdani , A. and Wellman , M. 1995 . ≪Real-world Applications of Bayesian Networks≫, Communication of the ACM, 38
- Jensen , F. V. , Lauritzen , S. L. and Olesen , K. G. 1990 . 269 – 282 . ≪Bayesian Updating in Causal Probabilistic Networks by Local Computations≫, Computational Statistics Quarterly, 4, Physica-Verlag, Heidelberg
- Kim , J. H. and Pearl , J. 1983 . 190 – 193 . ≪A Computational Model for Causal and Diagnostic Reasoning in Inference Systems≫, in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe
- Lauritzen , S. L. and Spiegelhalter , D. J. 1988 . 157 – 224 . ≪Local Computations with Probabilities on Graphical Structures and their Application to Expert Systems≫, The Journal of the Royal Statistical Society, B, 50, 2
- Li , Z. and D'Ambrosio , B. 1994 . ≪Efficient Inference in Bayes Networks as a Combinatorial Optimization Problem≫, International Journal of Approximate Reasoning, 11
- Neapolitan , R. E. 1990 . Probabilistic Reasoning in Expert Systems: Theory and Algorithms, John Wiley and Sons, New-York
- Pearl , J. 1982 . 133 – 136 . ≪Reverend Bayes on inference engines: A distributed hierarchical approach≫, in Proceedings of the Second National Conference on Artificial Intelligence, Pittsburgh
- Pearl , J. 1986 . 241 – 288 . a: ≪Fusion, Propagation, and Structuring in Belief Networks≫, Artificial Intelligence, 29
- Pearl , J. 1986 . b: ≪Markov and Bayes Networks: a comparison of two graphical representations of probabilistic knowledge≫, Technical report CSD 860024, Cognitive systems lab., U.C.L.A
- Pearl , J. 1988 . Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann publishers, San Mateo, Californie
- Pearl , J. 1993 . ≪Belief Networks Revisited≫, Artificial Intelligence, 59
- Person , P. 1991 . ≪Les réseaux bayésiens: un nouvel outil de l'intelligence artificielle≫, Thèse de doctorat de l'université Paris VI
- Shenoy , P. P. and Shafer , G. 1986 . “ Fall ” . 43 – 52 . ≪Propagating Belief Functions with Local Computations≫, IEEE Expert
- Smith , J. Q. 1989 . 654 – 672 . ≪Influence Diagrams for Statistical Modelling≫, The annals of statistics, 17, 2
- Spiegelhalter , D. J. 1986 . Addison-Wesley . ≪A Statistical View of Uncertainty in Expert Systems≫, in Artificial Intelligence and Statistics, Reading
- Suermondt , H. J. and Cooper , G. F. 1990 . 283 – 306 . ≪Probabilistic Inference in Multiply Connected Belief Networks Using Loop Cutsets≫, International Journal of Approximate Reasoning, 4