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Sparse Modeling : Theory, Algorithms, and Applications - Irina Rish

Sparse Modeling

Theory, Algorithms, and Applications

By: Irina Rish, Genady Grabarnik

eText | 1 December 2014 | Edition Number 1

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Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t

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