no code implementations • 30 Jun 2015 • Christian Widmer, Marius Kloft, Vipin T Sreedharan, Gunnar Rätsch
We present a general regularization-based framework for Multi-task learning (MTL), in which the similarity between tasks can be learned or refined using $\ell_p$-norm Multiple Kernel learning (MKL).