Pierre M. L. Drezet

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Support Vector Regression (SVR) is a kernel based regression method capable of implementing a variety of regularisation techniques. Implementation of SVR usually follows a dual optimisation technique which includes Vapnik's -insensitive zone. The number of terms in the resulting SVR approximation function is dependent on the size of this zone, but improving(More)
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