Racing for Conditional Independence Inference.
Remco R. BouckaertMilan StudenýPublished in: ECSQARU (2005)
Keyphrases
- conditional independence
- bayesian networks
- bayes nets
- graphical models
- random variables
- probabilistic inference
- structure learning
- learning bayesian networks
- probability distribution
- directed acyclic graph
- bayesian network structure
- exact inference
- statistical independence
- causal models
- independence relations
- possibility theory
- axiomatic characterization
- bayes net
- structure and parameter learning
- markov logic networks
- chain graphs
- conditional independencies
- probability theory
- factor graphs
- dynamic bayesian networks
- probabilistic model
- probabilistic networks
- neural network
- causal independence
- parameter learning
- causal discovery
- markov property
- markov random field
- incomplete data
- pairwise
- probabilistic graphical models