RANDOMIZED METHOD FOR IMPROVING APPROXIMATIONS FOR NONLINEAR SUPPORT VECTOR MACHINES

The disclosed embodiments relate to a system that improves operation of a monitored system. During a training mode, the system uses a training data set comprising labeled data points received from the monitored system to train the SVM to detect one or more conditions-of-interest. While training the...

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Bibliographische Detailangaben
Hauptverfasser: Golovashkin, Dmitry V, Sharanhovich, Uladzislau, Hornick, Mark F, Arancibia Coddou, Marcos R
Format: Patent
Sprache:eng
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