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englhardt / ocs-evaluation

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Scripts and notebooks to reproduce the experiments and analyses of the paper Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm, "Efficient SVDD sampling with approximation guarantees for the decision boundary", Machine Learning (2022).

machine-learning data-reduction classification outlier-detection anomaly-detection one-class svdd support-vector-data-description sampling-strategies
  • Updated Apr 14, 2022
  • Jupyter Notebook

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