High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
Animashree AnandkumarVincent Y. F. TanAlan S. WillskyPublished in: CoRR (2011)
Keyphrases
- graphical models
- graph structure
- high dimensional
- directed acyclic
- gaussian graphical models
- belief propagation
- graphical structure
- probabilistic inference
- random variables
- probabilistic model
- probabilistic graphical models
- structural learning
- bayesian networks
- approximate inference
- markov networks
- conditional random fields
- structure learning
- conditional independence
- undirected graphical models
- exact inference
- factor graphs
- map inference
- belief networks
- directed graph
- conditional dependencies
- np hard
- markov random field
- dimensionality reduction