Laplace approximated Gaussian process state-space models.
Jakob LindingerBarbara RakitschChristoph LippertPublished in: UAI (2022)
Keyphrases
- gaussian process
- gaussian processes
- state space
- model selection
- bayesian framework
- gaussian process models
- covariance function
- dynamical models
- probabilistic model
- gaussian process regression
- semi supervised
- dynamical model
- approximate inference
- hyperparameters
- regression model
- parameter estimation
- particle filter
- gaussian process classification
- cross validation
- reinforcement learning
- learning process
- machine learning