dm.cs.tu-dortmund.de/en/mlbits/class-svm-kernel-trick/
Non-linear SVM and the Kernel Trick – Lecture Notes
\(\phi (\vec{x})=(1, \sqrt{2}\; x_1, \sqrt{2}\; x_2, x_1^2, x_2^2, \sqrt{2}\; x_1 x_2) \in \mathbb {R}^6\)
Nonlinear SVM [ BoGuVa92 ] /2
Computation of scalar products is expensive when done in high-dimensional …