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Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief

Machine learning (ML) has become a popular tool for mining functional neuroimaging data, and there are now hopes of performing such analyses efficiently in real-time. Towards this goal, we compared accuracy of six different ML algorithms applied to neuroimaging data of persons engaged in a bivariate...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Douglas, P.K., Harris, Sam, Yuille, Alan, Cohen, Mark S.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2010
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC3099263/
https://ncbi.nlm.nih.gov/pubmed/21073969
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2010.11.002
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