Bayesian Regularization for Graphical Models with Unequal Shrinkage.
Lingrui GanNaveen N. NarisettyFeng LiangPublished in: CoRR (2018)
Keyphrases
- graphical models
- probabilistic model
- belief propagation
- probabilistic inference
- random variables
- probabilistic graphical models
- bayesian networks
- approximate inference
- structure learning
- markov networks
- conditional random fields
- map inference
- conditional independence
- exact inference
- directed acyclic
- belief networks
- statistical inference
- gaussian graphical models
- graph structure
- message passing
- factor graphs
- structural learning