Representer theorem
theorem that a minimizer of a regularized empirical risk functional defined over a reproducing kernel Hilbert space can be represented as a finite linear combination of kernel products evaluated on the input points in the training set data
The representer theorem states that any function that takes the form:
where is any loss function and is any regularization term, the optimal solution, , will take the form:
Where is a kernel.