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stat.ML2010
Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods
Robert Hable
In nonparametric classification and regression problems, regularized kernel methods, in particular support vector machines, attract much attention in theoretical and in applied sta…
stat.ML2010★ 1 cited
Support Vector Machines for Additive Models: Consistency and Robustness
Andreas Christmann, Robert Hable
Support vector machines (SVMs) are special kernel based methods and belong to the most successful learning methods since more than a decade. SVMs can informally be described as a k…