Novel approximations for inference in nonlinear dynamical systems using expectation propagation.
Alexander YpmaTom HeskesPublished in: Neurocomputing (2005)
Keyphrases
- expectation propagation
- nonlinear dynamical systems
- bayesian inference
- gaussian process
- approximate inference
- gaussian process classification
- variational bayes
- density estimation
- dynamical systems
- dynamic bayesian networks
- bayesian methods
- phase space
- loopy belief propagation
- graphical models
- probabilistic model
- gaussian processes
- exact inference
- belief propagation
- probabilistic inference
- free energy
- latent variables
- prior information
- regression model
- bayesian learning
- hyperparameters
- posterior distribution
- image processing
- bayesian framework
- conditional random fields
- parameter estimation
- semi supervised
- video sequences