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Resample aggregating improves the generalizability of connectome predictive modeling
It is a longstanding goal of neuroimaging to produce reliable, generalizable models of brain behavior relationships. More recently, data driven predictive models have become popular. However, overfitting is a common problem with statistical models, which impedes model generalization. Cross validatio...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282199/ https://www.ncbi.nlm.nih.gov/pubmed/33848621 http://dx.doi.org/10.1016/j.neuroimage.2021.118044 |