Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior.
Yutian ChenMax WellingPublished in: CoRR (2014)
Keyphrases
- structure learning
- markov random field
- parameter estimation
- maximum a posteriori
- bayesian networks
- image prior
- markov networks
- posterior distribution
- prior distribution
- parameter learning
- graphical models
- partition function
- belief propagation
- maximum likelihood
- graph cuts
- image segmentation
- energy function
- random fields
- higher order
- bayesian inference
- bayesian framework
- posterior probability
- undirected graphical models
- conditional independence
- transfer learning
- conditional random fields
- pairwise
- markov logic networks
- message passing
- higher order cliques
- prior knowledge
- random variables
- probabilistic inference
- gene regulatory networks
- maximum margin
- sample size
- probability distribution
- least squares
- machine learning
- maximum likelihood estimation
- approximate inference
- first order logic
- hyperparameters
- maximum entropy
- prior information