Motivating explanations in Bayesian networks using MAP-independence.
Johan KwisthoutPublished in: CoRR (2022)
Keyphrases
- bayesian networks
- conditional independence
- context specific independence
- learning bayesian networks
- observable variables
- graphical models
- maximum a posteriori
- probability distribution
- conditional probability tables
- structure learning
- causal models
- hidden variables
- random variables
- probabilistic model
- expert knowledge
- mobile robot
- expert systems
- bayesian belief networks
- bayesian network classifiers
- inference in bayesian networks
- conditional independencies
- database
- generating explanations
- maximum a posteriori probability
- naive bayes
- domain knowledge
- data sets