Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses.
Po-Ling LohMartin J. WainwrightPublished in: NIPS (2012)
Keyphrases
- graphical models
- covariance matrices
- belief propagation
- random variables
- covariance matrix
- probabilistic model
- factor graphs
- approximate inference
- bayesian networks
- graphical structure
- maximum likelihood
- structure learning
- conditional independence
- undirected graphical models
- vector space
- markov logic networks
- parameter estimation
- machine learning
- closed form
- gaussian mixture
- distance measure
- markov random field