Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief by Alan Yuille, Mark Cohen, P.K. Douglas, Sam Harris
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief
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Alan Yuille, Mark Cohen, P.K. Douglas, Sam Harris
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Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief

Alan Yuille, Mark Cohen, P.K. Douglas, Sam Harris

10 pages • first pub 2010 (editions)

nonfiction philosophy science informative slow-paced
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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 t...

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