We investigate the learning rate of multiple kernel learning (MKL) with ℓ 1 and elastic-net regularizations. The elastic-net regularization is a composition of an ℓ 1 -regularizer for inducing the ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...