Importance sampling algorithms for the propagation of probabilities in belief networks
暂无分享,去创建一个
[1] Uffe Kjærulff,et al. Blocking Gibbs sampling in very large probabilistic expert systems , 1995, Int. J. Hum. Comput. Stud..
[2] Steffen L. Lauritzen,et al. Hybrid Propagation in Junction Trees , 1994, IPMU.
[3] Ross D. Shachter,et al. The equivalence of exact methods for probabilistic inference on belief networks , 1991 .
[4] Ross D. Shachter,et al. Symbolic Probabilistic Inference in Belief Networks , 1990, AAAI.
[5] Gregory F. Cooper,et al. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..
[6] Prakash P. Shenoy,et al. Probability propagation , 1990, Annals of Mathematics and Artificial Intelligence.
[7] Ross D. Shachter,et al. Simulation Approaches to General Probabilistic Inference on Belief Networks , 2013, UAI.
[8] Kuo-Chu Chang,et al. Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks , 2013, UAI.
[9] Max Henrion,et al. An Introduction to Algorithms for Inference in Belief Nets , 1989, UAI.
[10] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[11] Ross D. Shachter. Probabilistic Inference and Influence Diagrams , 1988, Oper. Res..
[12] Judea Pearl,et al. Evidential Reasoning Using Stochastic Simulation of Causal Models , 1987, Artif. Intell..
[13] Ross D. Shachter. Evaluating Influence Diagrams , 1986, Oper. Res..
[14] Judea Pearl,et al. A Computational Model for Causal and Diagnostic Reasoning in Inference Systems , 1983, IJCAI.
[15] Reuven Y. Rubinstein,et al. Simulation and the Monte Carlo method , 1981, Wiley series in probability and mathematical statistics.
[16] K. Fertig,et al. An Accurate Approximation to the Sampling Distribution of the Studentized Extreme Value Statistic , 1980 .