Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

标题
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
作者
关键词
Alzheimer’s disease (AD), Mild cognitive impairment (MCI), Feature selection, Multi-task learning, Deep architecture, Sparse least squared regression, Magnetic resonance imaging (MRI), Positron emission topography (PET)
出版物
Brain Structure & Function
Volume 221, Issue 5, Pages 2569-2587
出版商
Springer Nature
发表日期
2015-05-21
DOI
10.1007/s00429-015-1059-y

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