Multi-Stage Multi-Task Feature Learning

Multi-task sparse feature learning aims to improve the generalization performance by exploiting the shared features among tasks. It has been successfully applied to many applications including computer vision and biomedical informatics. Most of the existing multi-task sparse feature learning algorit...

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Bibliographic Details
Published inAdvances in neural information processing systems Vol. 14; p. 2979
Main Authors Gong, Pinghua, Ye, Jieping, Zhang, Changshui
Format Journal Article
LanguageEnglish
Published United States 01.10.2013
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