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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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Detalhes bibliográficos
Publicado no:Hum Brain Mapp
Main Authors: Churchill, Nathan W., Yourganov, Grigori, Strother, Stephen C.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2014
Assuntos:
Acesso em linha: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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