Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting.
Kai ChenTwan van LaarhovenElena MarchioriPublished in: Mach. Learn. (2021)
Keyphrases
- gaussian processes
- long term
- short term
- dirichlet process
- gaussian process
- covariance function
- multi task learning
- mixture model
- gaussian process regression
- expectation propagation
- graph kernels
- multi task
- hyperparameters
- model selection
- human pose estimation
- expectation maximization
- hyperspectral
- gaussian process models
- preference learning
- feature space
- learning tasks
- kernel methods
- bayesian methods
- hyperspectral images
- support vector regression
- learning problems
- hyperspectral imagery
- regression model
- kernel function
- semi supervised
- reinforcement learning