Subclass-based multi-task learning for Alzheimer's disease diagnosis.
In this work, we propose a novel subclass-based multi-task learning method for feature selection in computer-aided Alzheimer's Disease (AD) or Mild Cognitive Impairment (MCI) diagnosis. Unlike the previous methods that often assumed a unimodal data distribution, we take into account the underlying m...
| Publicado en: | Frontiers in Aging Neuroscience Vol. 6; pp. 1 - 13 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Frontiers Media S.A.
Aug2014
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| Acceso en línea: | Ver este registro en EBSCOhost |