Interpreting Covariation in Causal Structure Learning.
Motoyuki SaitoTsuneo ShimazakiPublished in: CogSci (2013)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- parameter learning
- causal models
- causal relationships
- markov logic networks
- bayesian network structure learning
- probabilistic model
- conditional independence tests
- bayesian network classifiers
- parameter estimation
- transfer learning
- markov networks
- sample size
- causal discovery
- structure learning algorithm
- data sets
- hidden variables
- network structure
- probabilistic reasoning
- random variables
- directed acyclic graph
- posterior probability
- causal reasoning
- causal graph
- probability distribution