Signal-Adapted Kernels and Lazy-Evaluation Gaussian Process Regression
Constant-bandwidth radial basis function (RBF) regression models are popular due to their simplicity, but they exhibit oscillatory patterns that resemble the Runge and Gibbs phenomenon on many real-world datasets. The Gaussian process regression (GPR) can be considered as an extension of RBF regression in that some R...