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LAD

If you use any of the code in your paper, please cite:

@inproceedings{goernitz2015hidden, title={Hidden Markov Anomaly Detection}, author={Goernitz, Nico and Braun, Mikio and Kloft, Marius}, booktitle={Proceedings of The 32nd International Conference on Machine Learning}, pages={1833--1842}, year={2015} }

[L]atent [A]nomaly [D]etection

Methods

  • implementation of (dual) one-class support vector machine
  • implementation of (primal) structured output support vector machine
  • implementation of (primal) non-convex latent one-class svm

Joint Feature Maps

  • multi-class
  • hidden Markov model
  • basic procaryotic gene model (based on HMM-jfm)

Examples

  • icml submission examples (some of them require special data)

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