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...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2014
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124798/ |