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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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| Main Authors: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3930868/ https://ncbi.nlm.nih.gov/pubmed/24600388 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2014.00014 |
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