Coherence, Belief Expansion and Bayesian Networks
Luc BovensStephan HartmannPublished in: CoRR (2000)
Keyphrases
- bayesian networks
- evidential reasoning
- probabilistic reasoning
- conditional independence
- structure learning
- graphical models
- belief revision
- belief functions
- probability theory
- probabilistic inference
- learning bayesian networks
- random variables
- inference in bayesian networks
- bayesian network structure
- probability distribution
- probabilistic model
- hidden variables
- conditional probabilities
- expected utility
- neural network
- parameter learning
- bayesian belief networks
- bayesian network classifiers
- markov random field
- bayesian network inference
- bayesian network learning
- imprecise probabilities