Data Science, Kernel Trick, Machine Learning, Machine Learning Theory.
dim(ℌ)=|𝒳| — reaching the possibly largest space aforementioned. 2.2. The Rose Without The Thorn — RKHS And Representer Theorem Upon the aforementioned construction, we’ve built a function space reaching the largest dimension. The next question is, how can we find a function that minimizes the loss