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- W2103387009 abstract "We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We then present some theoretical results which include consistency and learning rates. Finally, we experimentally compare our SVM with the standard one-class SVM." @default.
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- W2103387009 title "Density Level Detection is Classification" @default.
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