Structure Learning for Bayesian Networks over Labeled DAGs.
Antti HyttinenJohan PensarJuha KontinenJukka CoranderPublished in: PGM (2018)
Keyphrases
- structure learning
- bayesian networks
- directed acyclic graph
- conditional independence
- graphical models
- parameter learning
- learning bayesian networks
- bayesian network structure learning
- bayesian network structures
- random variables
- markov logic networks
- bayesian network classifiers
- markov blanket
- training data
- dynamic bayesian networks
- probabilistic reasoning
- probabilistic inference
- structure and parameter learning
- belief networks
- incomplete data
- probability distribution
- continuous variables
- exact inference
- naive bayes
- supervised learning
- parameter estimation
- markov networks
- conditional probabilities
- equivalence classes
- posterior probability
- bayesian network structure
- probabilistic model
- structure learning algorithm
- training set
- machine learning
- belief propagation