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Sparse Modeling Theory Algorithms by Rish Irina (27 results)
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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condition: Fine. 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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US$ 74.84
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Add to basketCondition: Used: Good. Occasion - Bon Etat - Sparse modeling. Theory, algorithms and applications (2014) - Grand Format.
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Sparse Modeling : Theory, Algorithms, and Applications
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Sparse Modeling: Theory, Algorithms, and Applications
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367658925 ISBN 13: 9780367658922
Language: English
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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Sparse Modeling : Theory, Algorithms, and Applications
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Add to basketPaperback. Condition: Brand New. 254 pages. 9.25x6.14x0.55 inches. In Stock.
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Sparse Modeling: Theory, Algorithms, and Applications
Published by Taylor & Francis Inc, 2014
ISBN 10: 1439828695 ISBN 13: 9781439828694
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 127.99
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Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Sparse Modeling : Theory, Algorithms, and Applications
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Sparse Modeling : Theory, Algorithms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketBuch. Condition: Neu. Neuware - Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying physical, biological, and other natural processes. This book surveys recent advances in statistics, machine learning, and signal processing related to sparse modeling. It provides a comprehensive introduction to recent developments in sparse modeling research, including the theoretical basis for sparse modeling, algorithmic approaches, and applications to computational biology, medicine, neuroscience, graphical model selection, and compressed sensing.
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Add to basketHardcover. Condition: Brand New. 1st edition. 250 pages. 9.57x6.18x0.83 inches. In Stock.
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Sparse modeling theory. algorithms and applications(Chinese Edition)
ISBN 10: 7121333562 ISBN 13: 9787121333569
US$ 86.92
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2018-01-01 Pages: 184 Language: Chinese Publisher: electronic industry press Sparse modeling with close links to the modern statistics. signal processing. machine learning. can realize accurate recovery from a relatively small number of observations be estimated signal. are widely used in image reconstruction. the data of the parameter learning model. fault diagnosis. pattern recognition and thunder.
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US$ 73.19
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Add to basketPaperback. Condition: Brand New. 254 pages. 9.25x6.14x0.55 inches. In Stock. This item is printed on demand.
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US$ 74.91
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Add to basketTaschenbuch. Condition: Neu. 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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US$ 124.25
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Add to basketHardcover. Condition: Brand New. 1st edition. 250 pages. 9.57x6.18x0.83 inches. In Stock. This item is printed on demand.
