Stationary Geometric Graphical Model Selection.
Ilya SoloveychikVahid TarokhPublished in: CoRR (2018)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- approximate inference
- probabilistic graphical models
- structure learning
- bayesian networks
- markov networks
- factor graphs
- conditional random fields
- map inference
- non stationary
- statistical inference
- exact inference
- conditional dependencies
- gaussian graphical models
- conditional independence
- belief networks
- hidden markov models