How Dommel and Pichler Finally Cracked the Kernel Approximation Problem That Was Holding Machine Learning Back
Paul Dommel and Alois Pichler from TU Chemnitz developed a Taylor series based approach to approximate kernel functions in reproducing kernel Hilbert spaces. Their work produces the first non-exponential eigenfunction bounds ever recorded and opens the door to regularization parameters…