Background and Perspectives of Possibilistic Graphical Models.
Jörg GebhardtRudolf KrusePublished in: ECSQARU-FAPR (1997)
Keyphrases
- graphical models
- possibilistic networks
- belief propagation
- random variables
- probabilistic inference
- probabilistic graphical models
- probabilistic model
- approximate inference
- bayesian networks
- structure learning
- conditional random fields
- markov networks
- exact inference
- conditional independence
- map inference
- belief networks
- possibility theory
- statistical inference
- graph structure
- message passing
- possibilistic logic
- factor graphs
- structural learning
- fuzzy numbers
- logic programming
- markov logic networks