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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...

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Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: Guo, Chao-Yu, Liu, Tse-Wei, Chen, Yi-Hau
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2021
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7790373/
https://ncbi.nlm.nih.gov/pubmed/33411794
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244094
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