Decision Detection Using Hierarchical Graphical Models.
Trung H. BuiStanley PetersPublished in: ACL (2) (2010)
Keyphrases
- graphical models
- belief propagation
- probabilistic graphical models
- influence diagrams
- probabilistic model
- probabilistic inference
- random variables
- bayesian networks
- approximate inference
- map inference
- structure learning
- decision making
- markov networks
- exact inference
- conditional random fields
- conditional independence
- object detection
- factor graphs
- statistical inference
- belief networks
- gaussian graphical models
- message passing
- optimal solution
- markov logic networks
- statistical relational learning
- graph structure
- chain graphs
- directed acyclic
- markov random field