Structure learning of Bayesian networks using constraints.
Cassio P. de CamposZhi ZengQiang JiPublished in: ICML (2009)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- conditional independence
- continuous variables
- parameter learning
- bayesian network structure learning
- markov logic networks
- bayesian network classifiers
- transfer learning
- structure learning algorithm
- random variables
- structure and parameter learning
- parameter estimation
- markov blanket
- bayesian network structures
- probability distribution
- dynamic bayesian networks
- markov networks
- probabilistic reasoning
- conditional probabilities
- probabilistic model
- incomplete data
- probabilistic inference
- belief propagation
- network structure
- bayesian network structure
- constraint satisfaction
- naive bayes
- posterior probability
- sample size