Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
is always a trade-off between approximation-quality and calculation time. There is a lot of recent research in the whole area of kernel approximation and several ideas on how to optimally estimate 𝑘 or how to most efficiently sample 𝑘 values to calculate C [3][4][5]. These approaches either try to