Efficient Structure Learning and Sampling of Bayesian Networks.
Jack KuipersPolina SuterGiusi MoffaPublished in: CoRR (2018)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- bayesian network classifiers
- conditional independence
- parameter learning
- markov logic networks
- sample size
- transfer learning
- parameter estimation
- markov blanket
- posterior probability
- conditional probabilities
- structure and parameter learning
- bayesian network structures
- probabilistic model
- least squares
- network structure
- machine learning
- conditional independence tests
- structure learning algorithm
- maximum likelihood
- continuous variables
- probabilistic reasoning
- random variables
- belief propagation
- labeled data
- naive bayes
- probability distribution
- feature selection
- markov networks
- incomplete data