Sparse modeling : theory, algorithms, and applications /

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, Algo...

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Bibliographic Details

Main Authors:	Rish, Irina, 1969- (Author), Grabarnik, Genady Ya (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, [2015]
Series:	Chapman & Hall/CRC machine learning & pattern recognition series.
Subjects:	Mathematical models. Sampling (Statistics) Data reduction. Sparse matrices. Modèles mathématiques. Échantillonnage (Statistique) Réduction des données (Statistique) Matrices éparses. mathematical models. SCIENCE > System Theory. TECHNOLOGY & ENGINEERING > Operations Research. Data reduction Mathematical models Sparse matrices Electronic books.
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