Topology Constraints in Graphical Models.
Marcelo FioriPablo MuséGuillermo SapiroPublished in: NIPS (2012)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- approximate inference
- bayesian networks
- structure learning
- belief networks
- markov networks
- probabilistic inference
- map inference
- conditional independence
- exact inference
- conditional random fields
- message passing
- statistical inference
- gaussian graphical models
- structural learning
- undirected graphical models
- factor graphs
- graph structure
- constraint satisfaction
- pairwise