Dempster Conditioning and Conditional Independence in Evidence Theory.
Yongchuan TangJiacheng ZhengPublished in: Australian Conference on Artificial Intelligence (2005)
Keyphrases
- evidence theory
- conditional independence
- possibility theory
- bayesian networks
- combination rule
- random variables
- evaluation model
- structure learning
- probability distribution
- graphical models
- causal models
- directed acyclic graph
- probability theory
- axiomatic characterization
- fuzzy membership functions
- belief functions
- dempster shafer evidence theory
- causal discovery
- risk assessment
- neural network
- probabilistic model
- pattern recognition
- decision making
- genetic algorithm