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Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
Jianhui Chen
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Oznake: computer science;data mining
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 ...
Leto: 2010 Vir: videolectures.net
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