Skip to content
#

one-class

Here are 5 public repositories matching this topic...

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).

  • Updated Apr 14, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the one-class topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the one-class topic, visit your repo's landing page and select "manage topics."

Learn more