Quantifying performance of machine learning methods for neuroimaging data
Machine learning is increasingly being applied to neuroimaging data. However, most machine learning algorithms have not been designed to accommodate neuroimaging data, which typically has many more data points than subjects, in addition to multicollinearity and low signal-to-noise. Consequently, the...
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| Veröffentlicht in: | NeuroImage (Orlando, Fla.) Jg. 199; S. 351 - 365 |
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| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Elsevier Inc
01.10.2019
Elsevier Limited |
| Schlagworte: | |
| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
| Online-Zugang: | Volltext |
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