On identifying significant edges for structure learning in Bayesian networks.
Zhenyu LiaoJunyao DuanPeter van BeekPublished in: AI (2022)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- conditional independence
- graphical models
- parameter learning
- bayesian network structure learning
- bayesian network classifiers
- transfer learning
- bayesian network structures
- structure learning algorithm
- markov logic networks
- parameter estimation
- markov blanket
- probabilistic inference
- probabilistic reasoning
- continuous variables
- conditional probabilities
- bayesian network structure
- markov networks
- random variables
- probabilistic model
- structure and parameter learning
- hidden variables
- probability distribution
- dynamic bayesian networks
- machine learning
- directed acyclic graph
- incomplete data
- sample size
- least squares