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An alternative approach to dimension reduction for pareto distributed data: a case study
Deep learning models are tools for data analysis suitable for approximating (non-linear) relationships among variables for the best prediction of an outcome. While these models can be used to answer many important questions, their utility is still harshly criticized, being extremely challenging to i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905765/ https://www.ncbi.nlm.nih.gov/pubmed/33649714 http://dx.doi.org/10.1186/s40537-021-00428-8 |