Approximate Inference and Stochastic Optimal Control
Konrad RawlikMarc ToussaintSethu VijayakumarPublished in: CoRR (2010)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- message passing
- exact inference
- gaussian process
- variational methods
- parameter estimation
- bayesian networks
- loopy belief propagation
- conditional random fields
- factor graphs
- dynamic bayesian networks
- latent variables
- free energy
- prior knowledge
- expectation propagation
- fixed point
- random variables
- maximum likelihood
- markov random field
- image processing
- generalized belief propagation