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
Call Number:Libro Electrónico
Main Authors: Rish, Irina, 1969- (Author), Grabarnik, Genady Ya (Author)
Format: Electronic eBook
Language:Inglés
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.
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