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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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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2012
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| Предметы: | |
| Online-ссылка: | 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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