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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 underly...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4124798/ https://ncbi.nlm.nih.gov/pubmed/25147522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2014.00168 |
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