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Clustering-Induced Multi-task Learning for AD/MCI Classification

In this work, we formulate a clustering-induced multi-task learning method for feature selection in 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 multipeak() dist...

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Bibliografiska uppgifter
I publikationen:Med Image Comput Comput Assist Interv
Huvudupphovsmän: Suk, Heung-Il, Shen, Dinggang
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2014
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4467456/
https://ncbi.nlm.nih.gov/pubmed/25320824
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