Johan A. K. Suykens

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels

2019 · IEEE Transactions on Neural Networks and Learning Systems

Random Fourier features (RFFs) have been successfully employed to kernel approximation in large-scale situations. The rationale behind RFF relies on Bochner's theorem, but the condition is too strict and excludes many widely used kernels, e.g., …