Theory and Application Domain of Possibilistic Graphical Models.
Jörg GebhardtPublished in: Workshop Data Mining und Data Warehousing (1998)
Keyphrases
- graphical models
- possibilistic networks
- belief propagation
- probabilistic model
- probabilistic inference
- approximate inference
- conditional random fields
- probabilistic graphical models
- structure learning
- bayesian networks
- random variables
- belief networks
- factor graphs
- message passing
- conditional independence
- structural learning
- graph structure
- map inference
- influence diagrams
- exact inference
- possibility theory
- chain graphs
- statistical inference
- probability theory
- gaussian graphical models
- statistical relational learning
- possibilistic logic
- markov networks