• Optimization for Machine Learning: SMO-MKL and Smoothing Strategies 

      Vishwanathan, S. V. N. (Georgia Institute of Technology, 2011-04-15)
      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. The SMO algorithm is simple, ...