Conditional independence and natural conditional functions.
Milan StudenýPublished in: Int. J. Approx. Reason. (1995)
Keyphrases
- conditional independence
- independence relations
- bayesian networks
- chain graphs
- random variables
- probability distribution
- graphical models
- structure learning
- learning bayesian networks
- markov property
- bayesian network structure
- conditional probabilities
- directed acyclic graph
- statistical independence
- gaussian model
- causal models
- axiomatic characterization
- causal discovery
- probability theory
- possibility theory
- bayes nets
- belief propagation
- belief networks
- reinforcement learning
- conditional independencies
- knowledge representation
- graphical structure
- neural network
- state space