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Conditional Anomaly Detection with Soft Harmonic Functions

In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label. We develop a new non-parametric approach for conditional anomaly detection based on the soft harmonic solution, with which we estimate the confidenc...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Valko, Michal, Kveton, Branislav, Valizadegan, Hamed, Cooper, Gregory F., Hauskrecht, Milos
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2011
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4189186/
https://ncbi.nlm.nih.gov/pubmed/25309142
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICDM.2011.40
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