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Outlier detection using autoencoders
Outlier detection is a crucial part of any data analysis applications. The goal of outlier detection is to separate a core of regular observations from some polluting ones, called “outliers”. We propose an outlier detection method using deep autoencoder. In our research the invented method was appl...
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| Lenguaje: | eng |
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2016
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| Acceso en línea: | http://cds.cern.ch/record/2209085 |