) Hyper-Parameter Optimization for Gaussian Process Regression.
Linning XuYijue DaiJiawei ZhangCeyao ZhangFeng YinPublished in: MLSP (2020)
Keyphrases
- gaussian process regression
- hyperparameters
- gaussian process
- gaussian processes
- model selection
- cross validation
- closed form
- bayesian inference
- covariance function
- maximum likelihood
- em algorithm
- prior information
- bayesian framework
- sample size
- support vector
- random sampling
- maximum a posteriori
- incomplete data
- parameter settings
- noise level
- pairwise
- decision trees
- latent variables
- incremental learning
- generative model
- input data
- upper bound