Search
Skip to Search Results
Filter
Subject / Keyword
Collections
Supervisors
Author / Creator / Contributor
Year
Languages
Item type
-
Fall 2021
Kernel methods are often used for nonlinear regression and classification in machine learning because they are computationally cheap and accurate. Fourier basis and wavelet basis are the bases that can efficiently approximate the kernel functions. In previous research, Bayesian approximate kernel...
1 - 1 of 1