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On the Noise Model of Support Vector Machines Regression

ALT, (2000): 316-324

Cited by: 74|Views100
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Abstract

Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error), but by a different loss function called the Ɛ-Insensitive Loss Function (ILF), which is similar to loss functions used in the field of robust statistics. The quadratic lo...More

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