Sparse Modeling: Theory, Algorithms, and Applications
Irina Rish · Genady Grabarnik
Dec 2014 · CRC Press
Ebook
253
Pages
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About this ebook
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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