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"Efficient SVDD sampling with approximation guarantees for the decision ..."

Adrian Englhardt et al. (2022)

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DOI: 10.1007/S10994-022-06149-0

access: open

type: Journal Article

metadata version: 2023-02-28

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  - journals/ml/EnglhardtTKSB22
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  - https://dblp.org/rec/journals/ml/EnglhardtTKSB22
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111(4): 1349-1375 (2022)

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