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General Vector Machine

Published in arXiv (Cornell University) • Feb 12, 2016
Authors:
Hong Zhao

Abstract

The support vector machine (SVM) is an important class of learning machines for function approach, pattern recognition, and time-serious prediction, etc. It maps samples into the feature space by so-called support vectors of selected samples, and then feature vectors are separated by maximum margin ...

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