Self-Conditional Probabilities and Probabilistic Interpretations of Belief Functions.
Roger M. CookePhilippe SmetsPublished in: Ann. Math. Artif. Intell. (2001)
Keyphrases
- conditional probabilities
- belief functions
- probability measures
- probability function
- prior probabilities
- bayesian networks
- probabilistic model
- probability theory
- belief networks
- probabilistic inference
- dempster shafer theory
- probability distribution
- posterior probability
- dempster shafer
- joint distribution
- bayesian model
- random variables
- bayesian belief networks
- evidential reasoning
- inference rules
- probability functions
- joint probability
- combination rule
- class labels
- markov tree
- generative model
- machine learning
- fuzzy logic
- multi dimensional
- graphical models
- main idea consists