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Exploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study
Feature selection plays a key role in multi-voxel pattern analysis because functional magnetic resonance imaging data are typically noisy, sparse, and high-dimensional. Although the conventional evaluation criterion is the classification accuracy, selecting a stable feature set that is not sensitive...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999569/ https://www.ncbi.nlm.nih.gov/pubmed/27747593 http://dx.doi.org/10.1007/s40708-016-0048-0 |