Active Structure Learning of Bayesian Networks in an Observational Setting.
Noa Ben-DavidSivan SabatoPublished in: CoRR (2021)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network classifiers
- markov logic networks
- bayesian network structure learning
- dynamic bayesian networks
- transfer learning
- bayesian network structure
- probabilistic inference
- structure learning algorithm
- markov blanket
- structure and parameter learning
- markov networks
- sample size
- parameter estimation
- incomplete data
- conditional probabilities
- random variables
- bayesian network structures
- probabilistic model
- probabilistic reasoning
- probability distribution
- conditional independence tests
- hidden variables
- posterior probability
- supervised learning
- hidden markov models