Efficient Algorithms for Conditional Independence Inference.
Remco R. BouckaertRaymond HemmeckeSilvia LindnerMilan StudenýPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- conditional independence
- bayesian networks
- graphical models
- bayes nets
- probability distribution
- random variables
- structure learning
- probabilistic inference
- learning bayesian networks
- structure and parameter learning
- causal models
- exact inference
- directed acyclic graph
- axiomatic characterization
- bayesian network structure
- belief networks
- parameter learning
- possibility theory
- chain graphs
- conditional independencies
- posterior probability
- statistical independence
- independence relations
- probability theory
- conditional probabilities
- factor graphs
- probabilistic networks
- probabilistic graphical models
- belief propagation
- causal discovery
- markov logic networks
- neural network