Approximate Inference and Constrained Optimization.
Tom HeskesKees AlbersBert KappenPublished in: UAI (2003)
Keyphrases
- constrained optimization
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- exact inference
- gaussian process
- message passing
- bayesian networks
- parameter estimation
- latent variables
- conditional random fields
- objective function
- expectation propagation
- penalty function
- free energy
- probabilistic model
- machine learning
- stereo matching
- random variables
- belief networks
- markov random field
- higher order