Sparse Modeling : Theory, Algorithms, and Applications

Irina Rish

ISBN 10: 1439828695 / ISBN 13: 9781439828694

Published by CRC Press, 2014

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781439828694

Bibliographic Details

• Title: Sparse Modeling : Theory, Algorithms, and Applications
• Publisher: CRC Press
• Publication Date: 2014
• Language: English
• ISBN 10: 1439828695
• ISBN 13: 9781439828694
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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...

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