Stability of Gaussian Process State Space Models.
Thomas BeckersSandra HirchePublished in: CoRR (2018)
Keyphrases
- approximate inference
- gaussian process
- gaussian processes
- bayesian framework
- model selection
- covariance function
- gaussian process models
- latent variables
- state space
- regression model
- hyperparameters
- dynamical model
- probabilistic model
- gaussian process regression
- bayesian networks
- reinforcement learning
- cross validation
- marginal likelihood
- prior information
- edge detection