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Convolutional Neural Network-Based Discriminator for Outlier Detection
Noise in training data increases the tendency of many machine learning methods to overfit the training data, which undermines the performance. Outliers occur in big data as a result of various factors, including human errors. In this work, we present a novel discriminator model for the identificatio...
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| Veröffentlicht in: | Comput Intell Neurosci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7946460/ https://ncbi.nlm.nih.gov/pubmed/33763125 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/8811147 |
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