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math.ST2007★ 267 cited
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart, Clint Scovel
For binary classification we establish learning rates up to the order of for support vector machines (SVMs) with hinge loss and Gaussian RBF kernels. These rates are in te…
math.ST2006★ 8 cited
A new concentration result for regularized risk minimizers
Ingo Steinwart, Don Hush, Clint Scovel
We establish a new concentration result for regularized risk minimizers which is similar to an oracle inequality. Applying this inequality to regularized least squares minimizers l…