Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation.
Sanket KamtheSo TakaoShakir MohamedMarc Peter DeisenrothPublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- state estimation
- expectation propagation
- bayesian inference
- gaussian process
- approximate inference
- particle filter
- density estimation
- kalman filter
- variational bayes
- visual tracking
- bayesian methods
- particle filtering
- dynamic systems
- kalman filtering
- graphical models
- dynamic bayesian networks
- belief propagation
- hyperparameters
- object tracking
- image processing
- regression model
- posterior distribution
- gaussian mixture model
- feature selection
- bayesian framework
- human body
- prior information
- free energy
- reinforcement learning
- latent variables