Structural learning for Bayesian networks by testing complete separators in prime blocks.
Ping-Feng XuJianhua GuoMan-Lai TangPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- structural learning
- bayesian networks
- graphical models
- directed acyclic graph
- conditional independence
- random variables
- probabilistic inference
- conditional independence tests
- structure learning
- posterior probability
- test cases
- probabilistic model
- conditional probabilities
- monte carlo
- markov networks
- probability distribution
- conditional independencies
- belief propagation
- incomplete data
- hidden variables
- higher order
- parameter learning
- exact inference