Blocking Gibbs Sampling in Very Large Probabilistic Expert Systems (1995)

Cached

Download Links

by Claus Skaanning Jensen , Augustine Kong
Venue:Internat. J. Human–Computer Studies
Citations:46 - 0 self

Documents Related by Co-Citation

7074 Probabilistic Reasoning in Intelligent Systems – J Pearl - 1988
1290 Local computation with probabilities on graphical structures and their application to expert systems – S L Lauritzen, D J Spiegelhalter - 1988
157 Approaches to general probabilistic inference on belief networks – R D Shachter, M A Peot - 1990
254 Approximating probabilistic inference in Bayesian belief networks is NP-hard – Paul Dagum, R. Martin Chavez - 1991
100 Weighing and integrating evidence for stochastic simulation in bayesian networks – R Fung, K-C Chang - 1990
287 Bayesian updating in causal probabilistic networks by local computation – F V Jensen, S L Lauritzen, K G Olesen - 1990
9 An accurate approximation to the sampling distribution of the studentized extreme-valued statistic – K W Fertig, N R Mann - 1980
93 Evidential reasoning using stochastic simulation of causal models – J Pearl - 1987
584 The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks – G F Cooper - 1990
911 An introduction to Bayesian networks – F V Jensen - 1996
416 Simulation and the Monte Carlo method – R Y Rubinstein - 1981
3738 Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images – S Geman, D Geman - 1984
107 Probability propagation – G R Shafer, P P Shenoy - 1990
129 Probabilistic Inference and Influence Diagrams – R D Shachter - 1988
77 Random Algorithms for the Loop Cutset Problem – Ann Becker, Reuven Bar-Yehuda, Dan Geiger - 1999
19 Hybrid Propagation in Junction Trees – A. Philip Dawid, Uffe Kjærulff, Steffen L. Lauritzen - 1995
26 Propagating Uncertainty by Logic Sampling in Bayes – M Henrion - 1986
20 The equivalence of exact methods for probabilistic inference in belief networks – R D Shachter, S K Andersen, P Szolovits - 1992
23 A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques – L Hernández, S Moral, A Salmerón - 1998