New Support Vector Algorithms
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
|Collections||ANU Research Publications|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.