Background to and perspectives on possibilistic graphical models.
Jörg GebhardtRudolf KrusePublished in: Applications of Uncertainty Formalisms (1998)
Keyphrases
- graphical models
- possibilistic networks
- belief propagation
- probabilistic graphical models
- probabilistic model
- random variables
- probabilistic inference
- bayesian networks
- conditional random fields
- approximate inference
- map inference
- graph structure
- structure learning
- conditional independence
- exact inference
- markov networks
- belief networks
- possibility theory
- statistical relational learning
- undirected graphical models
- possibilistic logic
- inference process
- markov logic networks
- influence diagrams
- chain graphs
- gaussian graphical models