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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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 | #1501309 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 easily download any file type for your device.Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition)   |  Irina Rish, Genady Grabarnik. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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