Data Science, Kernel Trick, Machine Learning, Machine Learning Theory.
important property originated from the inner product is that the evaluation of f at x for all possible f ∈ℌ and x∈𝒳 is equivalent to taking inner product between f and Kₓ, i.e., f(x)=⟨ Kₓ, f ⟩. Upon this, we can further show that for any function f in ℌ, the orthogonal complement part always