4 citations · 9 across the 7 of their papers we have counts for
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stat.ME2013
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Robert Hable
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well i…
stat.ML2013★ 1 cited
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods
Andreas Christmann, Robert Hable
It is shown that bootstrap approximations of support vector machines (SVMs) based on a general convex and smooth loss function and on a general kernel are consistent. This result i…