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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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| 出版年: | Hum Brain Mapp |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2014
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| 主題: | |
| オンライン・アクセス: | 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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