Random Fourier features represent a translation-invariant positive-semidefinite kernel by sampling frequencies from its spectral distribution and using sine and cosine features. They replace an implicit infinite-dimensional feature map by a finite random approximation.
Articles by others on the same topic
There are currently no matching articles.