SpicyMKL
SpicyMKL is an optimization method of MKL (mutiple kernel learning) that scales well against the number of kernels.
The software affords hinge, logistic and square losses, and L1-norm and elasticnet regularization.
Matlab Implementation: SpicyMKL_ver3.zip (updated 1st Apr. 2014)
Examples
ver2: SpicyMKL.zip (updated 1st Nov. 2010)
References