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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...
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| Publicado no: | Brain Inform |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4999569/ https://ncbi.nlm.nih.gov/pubmed/27747593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40708-016-0048-0 |
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