231 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Detalles bibliogr�ficos

T�tulo: Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Editor: CRC Press
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 1439828695
ISBN 13: 9781439828694
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: Fine

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Sinopsis

This book 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. It describes optimization problems involving commonly used sparsity-enforcing approaches as well as sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. The book also covers sparse graphical models, dictionary learning, and sparse matrix factorizations.

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Irina Rish, Genady Grabarnik

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