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Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding
Structured sparse methods have received significant attention in neuroimaging. These methods allow the incorporation of domain knowledge through additional spatial and temporal constraints in the predictive model and carry the promise of being more interpretable than non-structured sparse methods, s...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5313509/ https://ncbi.nlm.nih.gov/pubmed/28261042 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00062 |
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