Approximate Inference and Constrained Optimization
Tom HeskesKees AlbersHilbert J. KappenPublished in: CoRR (2012)
Keyphrases
- constrained optimization
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- exact inference
- parameter estimation
- gaussian process
- bayesian networks
- message passing
- conditional random fields
- latent variables
- objective function
- expectation propagation
- free energy
- probabilistic model
- penalty function
- markov random field
- multi view
- neural network
- random variables
- simulated annealing
- image processing
- computer vision