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Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
An important problem that hinders the use of supervised classification algorithms for brain imaging is that the number of variables per single subject far exceeds the number of training subjects available. Deriving multivariate measures of variable importance becomes a challenge in such scenarios. T...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841656/ https://www.ncbi.nlm.nih.gov/pubmed/30919255 http://dx.doi.org/10.1007/s12021-019-9415-3 |