How do Hyperbolic Tangent Kernels work? That is what is the intuition behind them? Can you provide proofs and examples for illustration?Hyperbolic Tangent Kernels are defined as:$$ K(x, x^\prime) = tanh\bigg(\alpha (x\cdot x^\prime) + c\bigg)$$For example, for Gaussian RBF kernel, the intuition is that the support vectors affect the decision surface based on the locality of influence. What is the analog for Hyperbolic Tangent (Sigmoid Kernels)?Some references on the Hyperbolic Tangent Kernels are:Hsuan-Tien Lin and Chih-Jen LinSabri Boughorbel, Jean-Philippe Tarel, Nozha Boujemaa
On the properties of Hyperbolic Tangent Kernel
machine learning;svm;supervised learning;reference request