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Multivariate decoding of brain images using ordinal regression()
Neuroimaging data are increasingly being used to predict potential outcomes or groupings, such as clinical severity, drug dose response, and transitional illness states. In these examples, the variable (target) we want to predict is ordinal in nature. Conventional classification schemes assume that...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Academic Press
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4068378/ https://ncbi.nlm.nih.gov/pubmed/23684876 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.05.036 |
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