Search
Now showing items 1-2 of 2
Fast Rates for Regularized Least-squares Algorithm
(2005-04-14)
We develop a theoretical analysis of generalization performances of regularized least-squares on reproducing kernel Hilbert spaces for supervised learning. We show that the concept of effective dimension of an integral ...
Risk Bounds for Regularized Least-squares Algorithm with Operator-valued kernels
(2005-05-16)
We show that recent results in [3] on risk bounds for regularized least-squares on reproducing kernel Hilbert spaces can be straightforwardly extended to the vector-valued regression setting. We first briefly introduce ...