Motivating explanations in Bayesian networks using MAP-independence.
Johan KwisthoutPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- bayesian networks
- conditional independence
- context specific independence
- learning bayesian networks
- maximum a posteriori
- observable variables
- inference in bayesian networks
- graphical models
- random variables
- conditional probability tables
- causal models
- probabilistic reasoning
- databases
- generating explanations
- diagnostic reasoning
- structure learning
- database
- expert knowledge
- conditional probabilities
- bayesian network structures
- image reconstruction
- conditional independencies
- bayesian network learning
- database systems
- genetic algorithm
- conditional independence tests