On the Concentration of Expectation and Approximate Inference in Layered Networks.
XuanLong NguyenMichael I. JordanPublished in: NIPS (2003)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- message passing
- exact inference
- parameter estimation
- gaussian process
- variational methods
- bayesian networks
- factor graphs
- linear gaussian
- conditional random fields
- latent variables
- loopy belief propagation
- dynamic bayesian networks
- fully connected
- expectation propagation
- structured prediction
- random variables
- belief networks
- free energy
- probabilistic model
- bayesian framework
- prior information
- stereo matching
- image reconstruction
- post processing
- model selection
- graph cuts
- markov random field
- least squares
- semi supervised
- hidden markov models
- prior knowledge
- k means