Representing Conditional Independence Using Decision Trees.
Jiang SuHarry ZhangPublished in: AAAI (2005)
Keyphrases
- conditional independence
- decision trees
- bayesian networks
- random variables
- learning bayesian networks
- causal models
- graphical models
- probability distribution
- bayesian network structure
- axiomatic characterization
- structure learning
- statistical independence
- directed acyclic graph
- structure and parameter learning
- causal discovery
- possibility theory
- training data
- probability theory
- chain graphs
- machine learning algorithms
- causal independence
- naive bayes
- conditional independencies
- statistical data
- parameter learning
- machine learning