no code implementations • NeurIPS 2010 • Zhaonan Sun, Nawanol Ampornpunt, Manik Varma, S. V. N. Vishwanathan
Our objective is to train $p$-norm Multiple Kernel Learning (MKL) and, more generally, linear MKL regularised by the Bregman divergence, using the Sequential Minimal Optimization (SMO) algorithm.
