B. G. Buchanan and E. H. Shortliffe, Rule based expert systems: The Mycin experiments of the Stanford heuristic programming project, 1984.

A. Darwiche, Dynamic join trees, Proceedings of the fourteenth conference on uncertainty in artificial intelligence (uai), pp.97-104, 1998.

A. Darwiche, Modeling and Reasoning with Bayesian Networks, 2009.
DOI : 10.1017/CBO9780511811357

T. Dean and K. Kanazawa, A model for reasoning about persistence and causation, Computational Intelligence, vol.4, issue.2, pp.142-150, 1989.
DOI : 10.1016/0004-3702(87)90012-9

M. J. Flores, J. A. Gámez, and K. G. Olesen, Incremental compilation of Bayesian networks, Proceedings of the nineteenth conference on uncertainty in artificial intelligence (uai), pp.233-240, 2003.

D. E. Heckerman and E. H. Shortliffe, From certainty factors to belief networks, Artificial Intelligence in Medicine, vol.4, issue.1, pp.35-52, 1992.
DOI : 10.1016/0933-3657(92)90036-O

F. Jensen, S. Lauritzen, and K. Olesen, Bayesian updating in causal probabilistic networks by local computations, Computational Statistics Quarterly, vol.4, pp.269-282, 1990.

D. Koller and N. Friedman, Probabilistic graphical models: Principles and techniques, 2009.

D. Koller and A. Pfeffer, Probabilistic frame-based systems, Proceedings of the 15th national conference on artificial intelligence (aaai), pp.580-587, 1998.

S. Lauritzen and D. J. Spiegelhalter, Local computations with probabilities on graphical structures and their applications to expert systems, Journal of the Royal Statistical Society, vol.50, issue.2, pp.157-224, 1988.

W. Li, P. Beek, . Van, and P. Poupart, Performing incremental Bayesian inference by dynamic model counting, Proceedings of the national conference on artificial intelligence (aaai), pp.1173-1179, 2006.

Y. Lin and M. J. Druzdzel, Relevance-based sequential evidence processing in Bayesian networks, Proceedings of the eleventh international florida artificial intelligence research society conference (flairs), pp.446-450, 1998.

A. L. Madsen and F. V. Jensen, Lazy propagation: A junction tree inference algorithm based on lazy evaluation, Artificial Intelligence, vol.113, issue.1-2, pp.1-2, 1999.
DOI : 10.1016/S0004-3702(99)00062-4

K. P. Murphy, Dynamic Bayesian networks: Representation, inference and learning, Thèse de doctorat non publiée, 2002.

J. Pearl, Probabilistic reasoning in intelligent systems: Networks of plausible inference, 1988.

A. J. Pfeffer, Probabilistic reasoning for complex systems, Thèse de doctorat non publiée, 2000.

J. Robinson and A. Hartemink, Non-stationary dynamic Bayesian networks, Advances in neural information processing systems 21 -proceedings of the 2008 conference, pp.1369-1376, 2009.

P. Shenoy and G. Shafer, Axioms for probability and belief-function propagation, Proceedings of the conference uncertainty in artificial intelligence, pp.169-198, 1990.

L. Torti, C. Gonzales, and P. Wuillemin, Speeding-up structured probabilistic inference using pattern mining, International Journal of Approximate Reasoning, vol.54, issue.7, pp.900-918, 2013.
DOI : 10.1016/j.ijar.2013.03.005

URL : https://hal.archives-ouvertes.fr/hal-01170498