Practical applications of sparse modeling

• Other Authors: Rish, Irina, 1969- (Editor), Cecchi, Guillermo A., (Editor), Lozano, Aurélie Chloé, 1975- (Editor), Niculescu-Mizil, Alexandru, (Editor)
• Format: eBook
• Language: English
• Published: Cambridge, Massachusetts : The MIT Press, [2014]
• Series: Neural information processing series.
• Subjects: Mathematical models.; Sampling (Statistics); Data reduction.; Sparse matrices.; elektronické knihy; electronic books
• ISBN: 9780262325325; 9780262027724
• Physical Description: 1 online zdroj (xii, 249 pages)

Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling,...