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Sparse Modeling - Theory, Algorithms, and Applications (Paperback) Loot Price: R1,444
Discovery Miles 14 440
Sparse Modeling - Theory, Algorithms, and Applications (Paperback): Irina Rish, Genady Grabarnik

Sparse Modeling - Theory, Algorithms, and Applications (Paperback)

Irina Rish, Genady Grabarnik

Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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Loot Price R1,444 Discovery Miles 14 440 | Repayment Terms: R135 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Release date: September 2020
First published: 2015
Authors: Irina Rish • Genady Grabarnik
Dimensions: 234 x 156 x 19mm (L x W x T)
Format: Paperback
Pages: 236
ISBN-13: 978-0-367-65892-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 0-367-65892-5
Barcode: 9780367658922

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