Approximate structure learning for large Bayesian networks.
Mauro ScanagattaGiorgio CoraniCassio Polpo de CamposMarco ZaffalonPublished in: Mach. Learn. (2018)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- conditional independence
- markov logic networks
- bayesian network classifiers
- bayesian network structure learning
- parameter learning
- markov blanket
- bayesian network structure
- probabilistic model
- structure and parameter learning
- markov networks
- bayesian network structures
- probability distribution
- dynamic bayesian networks
- parameter estimation
- probabilistic inference
- belief propagation
- network structure
- transfer learning
- probabilistic reasoning
- incomplete data
- continuous variables
- machine learning
- exact inference
- collaborative filtering
- posterior probability
- upper bound