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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Irina Rish, Genady Grabarnik




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 | #478803 in Books |  CRC Press |  2014-12-01 | Original language:English | PDF # 1 |  9.50 x6.50 x.75l,.0 | File type: PDF | 253 pages

 | CRC Press

||0 of 1 people found the following review helpful.| Five Stars|By I. Rosen|Excellent review of an important area in compressive sensing and machine learning.| ||"… an excellent introductory book for branching off into aspects of sparse modeling; it is also good for advanced students since it is contains an appendix with some of the mathematical background needed to learn from this book, including topics such a

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 to the growing field of sparse modeling, including application examples, problem formulations that...

You can specify the type of files you want, for your gadget.Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition)   |  Irina Rish, Genady Grabarnik.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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