Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors.
Biagio TrimarchiLorenzo GentiliniFabrizio SchianoLorenzo MarconiPublished in: CoRR (2022)
Keyphrases
- gaussian process
- data driven
- bayesian framework
- gaussian processes
- gaussian process regression
- hyperparameters
- regression model
- dynamical models
- gaussian process classification
- latent variables
- semi supervised
- approximate inference
- model selection
- marginal likelihood
- covariance function
- gaussian process models
- dynamical model
- prior information
- posterior distribution
- generative model
- prior knowledge
- sparse approximations
- bayesian inference
- random sampling
- decision trees