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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...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | 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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