Possibilistic Graphical Models and Compositional Models.
Jirina VejnarováPublished in: IPMU (1) (2010)
Keyphrases
- graphical models
- probabilistic model
- markov networks
- belief propagation
- probabilistic graphical models
- random variables
- relational models
- bayesian networks
- factor graphs
- probabilistic inference
- exponential family
- possibilistic networks
- approximate inference
- statistical inference
- prior knowledge
- undirected graphical models
- conditional independence
- influence diagrams
- statistical models
- structure learning
- conditional random fields
- generative model
- chain graphs
- efficient inference algorithms
- loopy belief propagation
- map inference
- structural learning
- markov random field