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Comparing within‐subject classification and regularization methods in fMRI for large and small sample sizes
In recent years, a variety of multivariate classifier models have been applied to fMRI, with different modeling assumptions. When classifying high‐dimensional fMRI data, we must also regularize to improve model stability, and the interactions between classifier and regularization techniques are stil...
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| Veröffentlicht in: | Hum Brain Mapp |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
John Wiley and Sons Inc.
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6869036/ https://ncbi.nlm.nih.gov/pubmed/24639383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22490 |
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