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New Support Vector Algorithms

Schoelkopf, Bernhard; Smola, Alexander; Williamson, Robert; Bartlett, Peter

Description

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

CollectionsANU Research Publications
Date published: 2000
Type: Journal article
URI: http://hdl.handle.net/1885/88973
Source: Neural Computation

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