Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
singular-value decomposition, or eigendecomposition. Regard that, with saving 𝑋𝑆 in memory, any arbitrary sample 𝑥 can be mapped into kernel-space: Compute 𝑐, so that 𝑐[i] contains the result of 𝜅(𝑥,𝑋𝑆[i])) Calculate 𝜙̃ (𝑥)=𝑐𝑊^(−1/2) Experiment — Solving nonlinear problems in kernel-space The