Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5205-2021
https://doi.org/10.5194/gmd-14-5205-2021
Development and technical paper
 | 
18 Aug 2021
Development and technical paper |  | 18 Aug 2021

Copula-based synthetic data augmentation for machine-learning emulators

David Meyer, Thomas Nagler, and Robin J. Hogan

Viewed

Total article views: 4,837 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,155 1,596 86 4,837 76 47
  • HTML: 3,155
  • PDF: 1,596
  • XML: 86
  • Total: 4,837
  • BibTeX: 76
  • EndNote: 47
Views and downloads (calculated since 05 Jan 2021)
Cumulative views and downloads (calculated since 05 Jan 2021)

Viewed (geographical distribution)

Total article views: 4,837 (including HTML, PDF, and XML) Thereof 4,532 with geography defined and 305 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
A major limitation in training machine-learning emulators is often caused by the lack of data. This paper presents a cheap way to increase the size of training datasets using statistical techniques and thereby improve the performance of machine-learning emulators.
Share