An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence.
Radim JirousekPublished in: SMPS (2010)
Keyphrases
- graphical models
- dempster shafer theory of evidence
- belief propagation
- random variables
- probabilistic inference
- probabilistic graphical models
- approximate inference
- probabilistic model
- bayesian networks
- structure learning
- conditional random fields
- map inference
- conditional independence
- markov networks
- belief networks
- statistical relational learning
- gaussian graphical models
- graph structure
- statistical inference
- exact inference
- image segmentation
- search algorithm
- loopy belief propagation
- maximum likelihood