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Unsupervised Spatiotemporal fMRI Data Analysis using Support Vector Machines
In this work we present a new support vector machine (SVM)-based method for fMRI data analysis. SVM has been shown to be a powerful, efficient data-driven tool in pattern recognition, and has been applied to the supervised classification of brain cognitive states in fMRI experiments. We examine the...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2009
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2807732/ https://ncbi.nlm.nih.gov/pubmed/19344772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.03.054 |
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