MAP Estimation for Graphical Models by Likelihood Maximization.
Akshat KumarShlomo ZilbersteinPublished in: NIPS (2010)
Keyphrases
- graphical models
- map estimation
- expectation maximization
- maximum a posteriori
- probabilistic model
- em algorithm
- belief propagation
- markov networks
- maximum likelihood
- markov random field
- random variables
- probabilistic inference
- approximate inference
- probabilistic graphical models
- bayesian networks
- structure learning
- conditional random fields
- graph structure
- noisy images
- belief networks
- energy function
- undirected graphical models
- conditional independence
- exact inference
- factor graphs
- image reconstruction
- posterior distribution
- bayesian inference
- latent variables
- chain graphs
- generative model
- pairwise