Perturbation Corrections in Approximate Inference: Mixture Modelling Applications.
Ulrich PaquetOle WintherManfred OpperPublished in: J. Mach. Learn. Res. (2009)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- parameter estimation
- message passing
- exact inference
- gaussian process
- loopy belief propagation
- factor graphs
- variational methods
- dynamic bayesian networks
- latent variables
- bayesian networks
- conditional random fields
- mixture model
- expectation maximization
- markov random field
- exponential family
- free energy
- expectation propagation
- gaussian mixture model
- structured prediction
- stereo matching
- probabilistic model
- image processing
- variational inference