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Comparative Study of SVM Methods Combined with Voxel Selection for Object Category Classification on fMRI Data
BACKGROUND: Support vector machine (SVM) has been widely used as accurate and reliable method to decipher brain patterns from functional MRI (fMRI) data. Previous studies have not found a clear benefit for non-linear (polynomial kernel) SVM versus linear one. Here, a more effective non-linear SVM us...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2011
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3040226/ https://ncbi.nlm.nih.gov/pubmed/21359184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0017191 |
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