The kernel function depends only on the architecture of the neural network, such as its depth and type of connectivity. The team named their kernel the neural tangent kernel, based on some of its ...

By putting a sandbox inside the kernel, you can add code that hooks into kernel functions without requiring any changes to the kernel itself.

The specific type of kernel regression presented in this article is Nadaraya-Watson kernel regression using a radial basis function kernel. The term "kernel regression" by itself is ambiguous because ...

Each kernel function is overlaid on a revcor function obtained from cat auditory nerve fibres (noisy curves in blue). b, The bandwidth–centre-frequency distribution of learned kernel functions ...