Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies.
Yuguang LongLimin WangZhiyi DuanMinghui SunPublished in: IEEE Access (2019)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- parameter learning
- learning bayesian networks
- dependency structure
- conditional independence
- bayesian network structure learning
- structure learning algorithm
- markov blanket
- markov logic networks
- bayesian network classifiers
- bayesian network structures
- transfer learning
- parameter estimation
- dynamic bayesian networks
- probabilistic inference
- markov networks
- probabilistic reasoning
- probabilistic model
- bayesian network structure
- continuous variables
- network structure
- random variables
- posterior probability
- sample size
- semi supervised learning
- probability distribution
- maximum likelihood estimation
- approximate inference
- structural learning
- naive bayes
- conditional independence tests