no code implementations • 4 Mar 2016 • John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian
Multiple Kernel Learning, or MKL, extends (kernelized) SVM by attempting to learn not only a classifier/regressor but also the best kernel for the training task, usually from a combination of existing kernel functions.
2 code implementations • 11 Dec 2014 • Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
It might not be possible to disclose the process.
no code implementations • 25 Jun 2012 • John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian
We present a geometric formulation of the Multiple Kernel Learning (MKL) problem.
