Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel
Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel
Regularization is a well-recognized powerful strategy to improve the performance of a learning machine and l(q) regularization schemes with 0 < q < ∞ are central in use. It is known that different q leads to different properties of the deduced estimators, say, l(2) regularization leads to a smooth estimator, …