A New Inference Axiom for Probabilistic Conditional Independence.
Cory J. ButzS. K. Michael WongDan WuPublished in: Canadian Conference on AI (2003)
Keyphrases
- conditional independence
- bayesian networks
- bayes nets
- probability theory
- logical inference
- probabilistic reasoning
- probabilistic inference
- structure learning
- graphical models
- random variables
- learning bayesian networks
- probability distribution
- exact inference
- probabilistic model
- bayesian network structure
- directed acyclic graph
- conditional probabilities
- possibility theory
- dynamic bayesian networks
- parameter learning
- chain graphs
- posterior probability
- bayes net
- causal models
- neural network
- axiomatic characterization
- independence relations
- causal independence
- hidden variables
- probabilistic networks
- conditional independencies
- statistical independence
- inference rules
- causal discovery
- causal networks
- structure and parameter learning
- belief networks
- markov logic networks
- junction tree
- inference process
- approximate inference
- bayesian inference
- undirected graphical models
- factor graphs
- causal relationships