Selective multiple kernel learning for classification with ensemble strategy ?
We obtain a competitive result with MKL, meanwhile owning sparsity. We propose a new kernel evaluation method with quantified result. We save the memory to optimize MKL and extend the scale of problem. We accelerate MKL optimization by using Lp-norm(p?2) Lp - norm ( p ? 2 ) . A fast SMKL with L?-norm L ? - norm is proposed, without MKL optimization.
selective multiple kernel learning multiple kernel learning kernel evaluation ensemble learning fast selective multiple kernel learning