Active Structure Learning of Bayesian Networks in an Observational Setting.
Noa Ben-DavidSivan SabatoPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- bayesian network classifiers
- bayesian network structure learning
- structure learning algorithm
- markov logic networks
- bayesian network structures
- dynamic bayesian networks
- continuous variables
- markov blanket
- random variables
- posterior probability
- parameter estimation
- probability distribution
- probabilistic model
- probabilistic reasoning
- structure and parameter learning
- exact inference
- probabilistic inference
- bayesian network structure
- naive bayes
- conditional probabilities
- approximate inference
- markov networks
- machine learning
- hidden variables
- transfer learning
- sample size
- hidden markov models
- pairwise
- feature selection