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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963457/ https://www.ncbi.nlm.nih.gov/pubmed/24683434 http://dx.doi.org/10.1007/s11265-013-0835-2 |