2005 | OriginalPaper | Buchkapitel
A New Alpha Seeding Method for Support Vector Machine Training
verfasst von : Du Feng, Wenkang Shi, Huawei Guo, Liangzhou Chen
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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In order to get good hyperparameters of SVM, user needs to conduct extensive cross-validation such as leave-one-out (
LOO
) cross-validation. Alpha seeding is often used to reduce the cost of SVM training. Compared with the existing schemes of alpha seeding, a new efficient alpha seeding method is proposed. Through some examples, its good performance has been proved. Interpretation from both geometrical and mathematical view is also given.