Computing the decomposable entropy of belief-function graphical models.
Radim JirousekVáclav KratochvílPrakash P. ShenoyPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- graphical models
- probabilistic graphical models
- belief functions
- markov networks
- belief propagation
- probabilistic model
- handling uncertainty
- probabilistic inference
- dempster shafer
- bayesian networks
- random variables
- approximate inference
- exact inference
- conditional random fields
- marginal probabilities
- structure learning
- probability function
- belief networks
- conditional independence
- factor graphs
- probability theory
- map inference
- probabilistic networks
- expected utility
- structured prediction
- probability distribution
- markov logic networks
- generative model