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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Detalles Bibliográficos
Autores principales: Song, Sutao, Zhan, Zhichao, Long, Zhiying, Zhang, Jiacai, Yao, Li
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040226/
https://www.ncbi.nlm.nih.gov/pubmed/21359184
http://dx.doi.org/10.1371/journal.pone.0017191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040226/
https://www.ncbi.nlm.nih.gov/pubmed/21359184
http://dx.doi.org/10.1371/journal.pone.0017191

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