Representing Belief Function Knowledge with Graphical Models.
Imen BoukhrisSalem BenferhatZied ElouediPublished in: KSEM (2011)
Keyphrases
- graphical models
- probabilistic graphical models
- belief functions
- belief propagation
- approximate inference
- uncertain reasoning
- probabilistic inference
- probabilistic model
- random variables
- bayesian networks
- belief networks
- markov networks
- conditional independence
- map inference
- exact inference
- probabilistic networks
- conditional random fields
- knowledge discovery
- structure learning
- dempster shafer
- prior knowledge
- knowledge representation
- knowledge base
- expert systems
- probability function
- latent variables
- factor graphs
- generative model