Tractable Variational Structures for Approximating Graphical Models.
David BarberWim WiegerinckPublished in: NIPS (1998)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic inference
- random variables
- approximate inference
- probabilistic graphical models
- conditional random fields
- bayesian networks
- graphical structure
- markov networks
- map inference
- graph structure
- free energy
- image segmentation
- variational methods
- belief networks
- conditional independence
- structure learning
- exact inference
- factor graphs
- np hard
- possibilistic networks
- gaussian graphical models
- message passing
- directed acyclic
- chain graphs
- exponential family
- markov random field