Graphical Models for Preference Representation: An Overview.
Nahla Ben AmorDidier DuboisHéla GouiderHenri PradePublished in: SUM (2016)
Keyphrases
- graphical models
- random variables
- belief propagation
- probabilistic model
- probabilistic graphical models
- approximate inference
- probabilistic inference
- markov networks
- bayesian networks
- conditional dependencies
- structure learning
- conditional random fields
- exact inference
- graph structure
- map inference
- efficient inference algorithms
- statistical inference
- factor graphs
- graphical structure
- conditional independence
- belief networks
- stereo matching
- loopy belief propagation
- relational models
- markov random field
- hidden markov models
- influence diagrams
- directed acyclic
- gaussian graphical models
- pairwise