Browsing by Subject "Support Vector Machines"
Now showing items 1-2 of 2
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An Equivalence Between Sparse Approximation and Support Vector Machines
(1997-05-01)In the first part of this paper we show a similarity between the principle of Structural Risk Minimization Principle (SRM) (Vapnik, 1982) and the idea of Sparse Approximation, as defined in (Chen, Donoho and Saunders, ...
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A Note on Support Vector Machines Degeneracy
(1999-08-11)When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM ...