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Download EBOOK Sparse Modeling : Theory, Algorithms, and Applications PDF for free Category: Economic Statistics
Edition: Taylor & Francis Inc
Date of issue: 05 Jan 2015
Format files: EPUB, TXT, PDF, DOCX
The author of the book: Irina Rish
ISBN-13: 9781439828694
The size of the: 553 KB
Language: English

Description of the book "Sparse Modeling : Theory, Algorithms, and Applications":

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 PDF 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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Irina Rish

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