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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...
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| Yayımlandı: | Neuroimage |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8282199/ https://ncbi.nlm.nih.gov/pubmed/33848621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2021.118044 |
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