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Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces
Novelty detection involves the construction of a “model of normality”, and then classifies test data as being either “normal” or “abnormal” with respect to that model. For this reason, it is often termed one-class classification. The approach is suitable for cases in which examples of “normal” behav...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3963457/ https://ncbi.nlm.nih.gov/pubmed/24683434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11265-013-0835-2 |
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