Efficient Sampling and Structure Learning of Bayesian Networks.
Jack KuipersPolina SuterGiusi MoffaPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- parameter learning
- conditional independence
- markov logic networks
- bayesian network classifiers
- markov blanket
- sample size
- structure learning algorithm
- probabilistic graphical models
- conditional probabilities
- transfer learning
- markov networks
- structure and parameter learning
- probabilistic reasoning
- probabilistic inference
- belief propagation
- probabilistic model
- posterior probability
- continuous variables
- conditional random fields
- naive bayes
- model selection
- higher order
- least squares
- probability distribution