Probabilistic Invariance for Gaussian Process State Space Models.
Paul GriffioenAlex DevonportMurat ArcakPublished in: L4DC (2023)
Keyphrases
- gaussian process
- state space
- probabilistic model
- gaussian processes
- bayesian framework
- dynamical systems
- dynamical models
- gaussian process models
- covariance function
- gaussian process regression
- model selection
- regression model
- prior knowledge
- bayesian networks
- higher order
- semi supervised
- training set
- hyperparameters
- particle filter
- dynamic programming