Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems.
Steffen RidderbuschSina Ober-BlöbaumPaul GoulartPublished in: CoRR (2022)
Keyphrases
- dynamical systems
- gaussian process
- expectation propagation
- dynamical models
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- approximate inference
- hyperparameters
- latent variables
- model selection
- semi supervised
- state space
- dynamical model
- gaussian process models
- nonlinear dynamical systems
- predictive state representations
- bayesian inference
- latent space
- prior information
- search space
- em algorithm
- upper bound
- pairwise
- training data
- data mining