A Transformational Characterization of Unconditionally Equivalent Bayesian Networks.
Alex MarkhamDanai DeligeorgakiPratik MisraLiam SolusPublished in: PGM (2022)
Keyphrases
- bayesian networks
- structure learning
- learning bayesian networks
- graphical models
- probabilistic reasoning
- neural network
- probability distribution
- conditional probabilities
- conditional independence
- diagnostic reasoning
- complex domains
- inference in bayesian networks
- hidden variables
- probabilistic inference
- bayesian network learning
- markov property
- probabilistic classifiers
- multiply sectioned bayesian networks
- bayesian network structure
- parameter learning
- image sequences
- decision trees
- artificial intelligence
- machine learning