Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
Yutian ChenMax WellingPublished in: CoRR (2012)
Keyphrases
- structure learning
- markov random field
- parameter estimation
- maximum a posteriori
- bayesian networks
- image prior
- markov networks
- posterior distribution
- parameter learning
- prior distribution
- partition function
- graphical models
- belief propagation
- maximum likelihood
- undirected graphical models
- higher order
- random fields
- markov logic networks
- graph cuts
- conditional independence
- energy function
- pairwise
- bayesian inference
- image segmentation
- posterior probability
- conditional random fields
- probabilistic graphical models
- transfer learning
- hyperparameters
- higher order cliques
- probabilistic model
- approximate inference
- conditional probabilities
- bayesian framework
- prior information
- network structure
- message passing
- probabilistic inference
- maximum likelihood estimation
- probability distribution
- latent variables
- exact inference
- gene regulatory networks
- belief networks
- learning algorithm
- image reconstruction
- collaborative filtering
- training data
- computer vision