Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling.
Ru HeJin TianHuaiqing WuPublished in: CoRR (2015)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- learning bayesian networks
- conditional independence
- sample size
- parameter learning
- parameter estimation
- markov logic networks
- bayesian network classifiers
- transfer learning
- structure learning algorithm
- bayesian network structures
- probabilistic model
- probability distribution
- random variables
- markov blanket
- continuous variables
- markov networks
- probabilistic inference
- posterior probability
- bayesian network structure
- structure and parameter learning
- conditional probabilities
- belief propagation
- network structure
- reinforcement learning