What is understandable in Bayesian network explanations?
Raphaela ButzRenée SchulzArjen HommersomMarko C. J. D. van EekelenPublished in: CoRR (2021)
Keyphrases
- bayesian networks
- graphical models
- conditional independence
- incomplete data
- structural learning
- probabilistic reasoning
- learning bayesian networks
- probability distribution
- probabilistic inference
- bayesian network inference
- probabilistic networks
- structure learning
- causal models
- bayesian network structure
- conditional probabilities
- causal relationships
- random variables
- probabilistic model
- inference in bayesian networks
- generating explanations
- dynamic bayesian networks
- neural network
- domain theory
- diagnostic reasoning
- naive bayes
- information retrieval
- databases
- bayesian network learning
- database