A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions.
Vasilica LeparPrakash P. ShenoyPublished in: UAI (1998)
Keyphrases
- probability distribution
- conditional probabilities
- belief functions
- random variables
- message passing
- marginal probabilities
- junction tree
- bayesian networks
- marginal distributions
- belief propagation
- probability density function
- probabilistic inference
- posterior distribution
- statistical analysis
- graphical models
- forward and backward
- neural network
- shafer shenoy