Training nu-support vector regression: theory and algorithms |
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Authors: | Chang Chih-Chung Lin Chih-Jen |
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Affiliation: | Department of Computer Science and Information Engineering, National Taiwan University, Taipei. b4506055@csie.ntu.edu.tw |
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Abstract: | We discuss the relation between epsilon-support vector regression (epsilon-SVR) and nu-support vector regression (nu-SVR). In particular, we focus on properties that are different from those of C-support vector classification (C-SVC) and nu-support vector classification (nu-SVC). We then discuss some issues that do not occur in the case of classification: the possible range of epsilon and the scaling of target values. A practical decomposition method for nu-SVR is implemented, and computational experiments are conducted. We show some interesting numerical observations specific to regression. |
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