New Support Vector Algorithms
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Schoelkopf, Bernhard
Smola, Alexander
Williamson, Robert
Bartlett, Peter
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MIT Press
Abstract
We propose a new class of support vector algorithms for regression and classification. In these algorithms, a parameter ν lets one effectively control the number of support vectors. While this can be useful in its own right, the parameterization has the
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Neural Computation