Sparse Modeling : Theory, Algorithms, and Applications

Irina Rish

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Language: English

Published by CRC Press, 2020

0367658925 / 9780367658922

Series: Book 9 of 15 - Chapman & Hall/Crc Machine Learning & Pattern Recognition

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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 yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field.The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions. The authors go on to address a variety of sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. They also examine a particular class of sparse graphical models and cover dictionary learning and sparse matrix factorizations.

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Title
Sparse Modeling : Theory, Algorithms, and Applications
Author
Irina Rish
Publisher
CRC Press
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0367658925
ISBN 13
9780367658922
Item weight
395 grams
Dimensions
234x156x14 mm
Series
Book 9 of 15: Chapman & Hall/Crc Machine Learning & Pattern Recognition

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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