An Introduction to Variational Methods for Graphical Models.
Michael I. JordanZoubin GhahramaniTommi S. JaakkolaLawrence K. SaulPublished in: Mach. Learn. (1999)
Keyphrases
- variational methods
- graphical models
- approximate inference
- belief propagation
- probabilistic inference
- exact inference
- probabilistic model
- probabilistic graphical models
- random variables
- bayesian networks
- loopy belief propagation
- factor graphs
- conditional random fields
- markov networks
- belief networks
- exponential family
- optic flow
- partition function
- message passing
- structured prediction
- level set
- gaussian process
- probability distribution
- machine learning
- latent variables
- parameter estimation
- scale space
- image segmentation