<i>k</i>CV-B: BOOTSTRAP WITH CROSS-VALIDATION FOR DEEP LEARNING MODEL DEVELOPMENT, ASSESSMENT AND SELECTION
This study investigates the inability of two popular data splitting techniques: train/test split and <i>k</i>-fold cross-validation that are to create training and validation data sets, and to achieve sufficient generality for supervised deep learning (DL) methods. This failure is mainly caused by t...
Na minha lista:
| Principais autores: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2022-12-01
|
| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W3-2022/111/2022/isprs-archives-XLVIII-4-W3-2022-111-2022.pdf |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|