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- W172381404 abstract "The aim of this work package (WP) is to explore approaches to learn structured sparse models, that is sparse models where the sparsity assumption seems not to be sufficient, or when there is hope to exploit some additional knowledge together with the sparsity hypothesis. The concept of structured sparsity can denote in fact various types of structure, which are strongly different in nature, yet related and interacting." @default.
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- W172381404 date "2011-01-01" @default.
- W172381404 modified "2023-09-27" @default.
- W172381404 title "Deliverable 3.1: Report on Learning Structured Sparse Models" @default.
- W172381404 hasPublicationYear "2011" @default.
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