Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling.
Ru HeJin TianHuaiqing WuPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- structure learning
- bayesian networks
- learning bayesian networks
- graphical models
- parameter learning
- conditional independence
- bayesian network classifiers
- sample size
- bayesian network structures
- markov blanket
- probabilistic inference
- structure learning algorithm
- random variables
- parameter estimation
- markov logic networks
- markov networks
- transfer learning
- probabilistic model
- posterior probability
- probabilistic reasoning
- probability distribution
- structure and parameter learning
- approximate inference
- bayesian network structure
- maximum likelihood
- upper bound
- knn
- learning process