Stepwise Structure Learning Using Probabilistic Pruning for Bayesian Networks: Improving Efficiency and Comparing Characteristics.
Godai AzumaDaisuke KitakoshiMasato SuzukiPublished in: ICISA (2017)
Keyphrases
- bayesian networks
- structure learning
- learning bayesian networks
- graphical models
- conditional independence
- parameter learning
- probabilistic reasoning
- markov logic networks
- bayesian network classifiers
- probabilistic model
- posterior probability
- bayesian network structures
- conditional probabilities
- probabilistic inference
- dynamic bayesian networks
- structure learning algorithm
- structure and parameter learning
- markov blanket
- random variables
- continuous variables
- belief propagation
- markov networks
- bayesian network structure
- probability distribution
- exact inference
- approximate inference
- learning algorithm
- naive bayes
- social networks
- hidden variables
- sample size
- parameter estimation
- pairwise