Importance sampling in Bayesian networks using probability trees

Author:

Salmerón Antonio,Cano Andrés,Moral Serafı́n

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference31 articles.

1. Boutilier, J., Friedman, N., Goldszmidt, M., Koller, D., 1996. Context-specific independence in Bayesian networks. In: Horvitz, E., Jensen, F. (Eds.) Proceedings of the 12th Conference on Uncertainty in Artificial Intelligence. Morgan & Kauffman, San Francisco, CA, pp. 115–123.

2. Campos, L.M., de Fernández, J.M., Huete, J., 1998. Query expansion using Bayesian networks. In: Cooper, G.F., Moral, S. (Eds.) Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. Morgan & Kauffman, San Francisco, CA, pp. 53–60.

3. Cano, A., Moral, S., 1995. Heuristic algorithms for the triangulation of graphs. In: Bouchon-Meunier, B., Yager, R., Zadeh, L. (Eds.) Advances in Intelligent Computing. Springer, Berlin, pp. 98–107.

4. Cano, A., Moral, S., 1997. Propagación exacta y aproximada con árboles de probabilidad. In: Actas de la VII Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 635–644.

5. Importance sampling algorithms for the propagation of probabilities in belief networks;Cano;Int. J. Approx. Reasoning,1996

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