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A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors
In recent years, machine learning methods have been applied to various prediction scenarios in time-series data. However, some processing procedures such as cross-validation (CV) that rearrange the order of the longitudinal data might ruin the seriality and lead to a potentially biased outcome. Rega...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790373/ https://www.ncbi.nlm.nih.gov/pubmed/33411794 http://dx.doi.org/10.1371/journal.pone.0244094 |