Using Belief Change Principles for Evolving Bayesian Network Structures in Probabilistic Knowledge Representations.
Edgar JembereSibusiso S. XuluPublished in: WI (2016)
Keyphrases
- belief change
- bayesian network structures
- bayesian networks
- probability theory
- belief revision
- learning bayesian networks
- equivalence classes
- belief update
- propositional logic
- rationality postulates
- structure learning
- bayesian network structure
- directed acyclic graph
- probabilistic model
- bayesian network structures from data
- probabilistic logic
- posterior probability
- generative model
- conditional independence
- probabilistic reasoning
- belief base
- probabilistic inference
- conditional probabilities
- social networks