Approximate inference for planning in stochastic relational worlds.
Tobias LangMarc ToussaintPublished in: ICML (2009)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- probabilistic inference
- message passing
- exact inference
- parameter estimation
- gaussian process
- variational methods
- bayesian networks
- latent variables
- loopy belief propagation
- dynamic bayesian networks
- factor graphs
- conditional random fields
- structured prediction
- expectation propagation
- linear gaussian
- markov networks
- free energy
- markov random field
- probabilistic model
- belief networks
- random variables
- graph cuts
- text mining
- generalized belief propagation
- support vector