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Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
Author(s) -
HeungIl Suk,
SeongWhan Lee,
Dinggang Shen
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/r2qz-en63
Subject(s) - feature selection , artificial intelligence , computer science , task (project management) , selection (genetic algorithm) , disease , feature (linguistics) , machine learning , deep learning , pattern recognition (psychology) , medicine , engineering , pathology , linguistics , philosophy , systems engineering

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