Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs
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Luis M. de Campos | Pedro Larrañaga | Serafín Moral | José A. Gámez | Txomin Romero | P. Larrañaga | S. Moral | L. M. Campos | J. A. Gamez | T. Romero
[1] Edzard S. Gelsema,et al. Abductive reasoning in Bayesian belief networks using a genetic algorithm , 1995, Pattern Recognit. Lett..
[2] S. Moral,et al. On the problem of performing exact partial abductive inference in Bayesian belief networks using junction trees , 2002 .
[3] Gregory F. Cooper,et al. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..
[4] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[5] Jean-Louis Golmard,et al. An algorithm directly finding the K most probable configurations in Bayesian networks , 1994, Int. J. Approx. Reason..
[6] Pedro Larrañaga,et al. Learning Bayesian network structures by searching for the best ordering with genetic algorithms , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[7] Prakash P. Shenoy,et al. Axioms for probability and belief-function proagation , 1990, UAI.
[8] D. Nilsson,et al. An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems , 1998, Stat. Comput..
[9] Richard E. Neapolitan,et al. Probabilistic reasoning in expert systems - theory and algorithms , 2012 .
[10] Pedro Larrañaga,et al. Structure Learning of Bayesian Networks by Genetic Algorithms , 1994 .
[11] Pedro Larrañaga,et al. Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms , 1997, Stat. Comput..
[12] José A. Gámez,et al. Partial abductive inference in Bayesian belief networks using a genetic algorithm , 1999, Pattern Recognit. Lett..
[13] Glenn Shafer,et al. Probabilistic expert systems , 1996, CBMS-NSF regional conference series in applied mathematics.
[14] Mark A. Kramer,et al. An Evolutionary Computing Approach to Probabilistic Reasoning on Bayesian Networks , 1996, Evolutionary Computation.
[15] A. P. Dawid,et al. Applications of a general propagation algorithm for probabilistic expert systems , 1992 .
[16] Steffen L. Lauritzen,et al. Bayesian updating in causal probabilistic networks by local computations , 1990 .
[17] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[18] Judea Pearl,et al. Distributed Revision of Composite Beliefs , 1987, Artif. Intell..
[19] Finn Verner Jensen,et al. Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.
[20] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[21] Richard E. Neapolitan,et al. Probabilistic reasoning in expert systems - theory and algorithms , 2012 .
[22] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[23] Pedro Larrañaga,et al. Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Heinz Mühlenbein,et al. The Equation for Response to Selection and Its Use for Prediction , 1997, Evolutionary Computation.