Machine learning for neuroimaging with scikit-learn

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encodi...

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Detalles Bibliográficos
Autores principales: Abraham, Alexandre, Pedregosa, Fabian, Eickenberg, Michael, Gervais, Philippe, Mueller, Andreas, Kossaifi, Jean, Gramfort, Alexandre, Thirion, Bertrand, Varoquaux, Gaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930868/
https://www.ncbi.nlm.nih.gov/pubmed/24600388
http://dx.doi.org/10.3389/fninf.2014.00014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930868/
https://www.ncbi.nlm.nih.gov/pubmed/24600388
http://dx.doi.org/10.3389/fninf.2014.00014

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