Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior.
Yutian ChenMax WellingPublished in: UAI (2012)
Keyphrases
- structure learning
- markov random field
- parameter estimation
- maximum a posteriori
- bayesian networks
- markov networks
- image prior
- posterior distribution
- prior distribution
- parameter learning
- graphical models
- maximum likelihood
- belief propagation
- random fields
- partition function
- posterior probability
- graph cuts
- higher order
- image segmentation
- bayesian inference
- undirected graphical models
- markov logic networks
- conditional random fields
- bayesian framework
- energy function
- prior information
- hyperparameters
- pairwise
- conditional independence
- maximum margin
- transfer learning
- approximate inference
- higher order cliques
- maximum likelihood estimation
- em algorithm
- probabilistic graphical models
- network structure
- random variables
- factor graphs
- machine learning
- gene regulatory networks
- message passing
- exact inference
- supervised learning
- sample size