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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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Podrobná bibliografie
Hlavní autoři: Gong, Pinghua, Ye, Jieping, Zhang, Changshui
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3889129/
https://ncbi.nlm.nih.gov/pubmed/24431924
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