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01/29/2013
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods
It is shown that bootstrap approximations of support vector machines (SV...
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03/20/2012
Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods
Regularized kernel methods such as, e.g., support vector machines and le...
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11/08/2011
Estimation of scale functions to model heteroscedasticity by support vector machines
A main goal of regression is to derive statistical conclusions on the co...
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10/04/2010
Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods
In nonparametric classification and regression problems, regularized ker...
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07/23/2010
Support Vector Machines for Additive Models: Consistency and Robustness
Support vector machines (SVMs) are special kernel based methods and belo...
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12/04/2009