Computing Two Heuristic Shrinkage Penalized Deep Neural Network Approach
Linear models are not always able to sufficiently capture the structure of a dataset. Sometimes, combining predictors in a non-parametric method, such as deep neural networks (DNNs), would yield a more flexible modeling of the response variables in the predictions. Furthermore, the standard statisti...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-08-01
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| Col·lecció: | Mathematical and Computational Applications |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2297-8747/30/4/86 |
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