An empirical study of testing independencies in Bayesian networks using rp-separation.
Cory J. ButzAndré E. dos SantosJhonatan de S. OliveiraChristophe GonzalesPublished in: Int. J. Approx. Reason. (2018)
Keyphrases
- bayesian networks
- conditional independence
- conditional independencies
- sets of probability measures
- graphical models
- random variables
- bayesian network structure
- structure learning
- neural network
- learning bayesian networks
- hidden variables
- directed acyclic graph
- conditional probability tables
- context specific
- causal models
- probability distribution
- probabilistic model
- knowledge base
- incomplete data
- expert knowledge
- bayesian network classifiers
- test cases
- diagnostic reasoning
- social networks
- learning algorithm