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
Hauptverfasser: Jollans, Lee, Boyle, Rory, Artiges, Eric, Banaschewski, Tobias, Desrivières, Sylvane, Grigis, Antoine, Martinot, Jean-Luc, Paus, Tomáš, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Garavan, Hugh, Whelan, Robert
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Inc 01.10.2019
Elsevier Limited
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ISSN:1053-8119, 1095-9572, 1095-9572
Online-Zugang:Volltext
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