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Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

We consider the problem of learning incoherent sparse and low-rank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the sparse and low-rank patterns are induced by a cardinality regularization term and a low-rank constraint, respectively. This...

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Detaylı Bibliyografya
Asıl Yazarlar: Chen, Jianhui, Liu, Ji, Ye, Jieping
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2012
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3783291/
https://ncbi.nlm.nih.gov/pubmed/24077658
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2086737.2086742
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