The Persistence of Most Probable Explanations in Bayesian Networks.
Arnoud PastinkLinda C. van der GaagPublished in: ECAI (2014)
Keyphrases
- bayesian networks
- probability distribution
- probabilistic reasoning
- learning bayesian networks
- conditional probabilities
- belief networks
- structure learning
- inference in bayesian networks
- conditional independence
- graphical models
- incomplete data
- variable elimination
- probabilistic inference
- expert knowledge
- causal models
- bayesian network classifiers
- probabilistic model
- generating explanations
- bayesian network structure
- bayesian network inference
- domain knowledge
- artificial intelligence
- continuous variables
- dynamic bayesian networks
- probabilistic logic
- approximate inference
- hidden variables
- diagnostic reasoning
- random variables
- search engine
- bayesian network learning
- machine learning