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Functional form estimation using oblique projection matrices for LS-SVM regression models
Kernel regression models have been used as non-parametric methods for fitting experimental data. However, due to their non-parametric nature, they belong to the so-called “black box” models, indicating that the relation between the input variables and the output, depending on the kernel selection, i...
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| Опубликовано в: : | PLoS One |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6555528/ https://ncbi.nlm.nih.gov/pubmed/31173619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217967 |
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