Survey on Synthetic Data Generation, Evaluation Methods and GANs
Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the performance of machine learning models. Generative adversarial networks (GANs) are a state-of-the-art deep generative models that can generate nov...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2022-08-01
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| Edice: | Mathematics |
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| On-line přístup: | https://www.mdpi.com/2227-7390/10/15/2733 |
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