Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models.
Han LiuKathryn RoederLarry A. WassermanPublished in: NIPS (2010)
Keyphrases
- graphical models
- high dimensional
- belief propagation
- random variables
- probabilistic inference
- probabilistic model
- probabilistic graphical models
- approximate inference
- structure learning
- bayesian networks
- conditional random fields
- graph structure
- markov networks
- conditional independence
- belief networks
- data points
- exact inference
- map inference
- pairwise
- graphical structure
- factor graphs
- loopy belief propagation
- prior information
- statistical inference
- image segmentation
- dimensionality reduction
- statistical relational learning
- undirected graphical models
- gene expression data
- low dimensional