Algorithms for Sparsity-Constrained Optimization

Ebook Details

Authors

Sohail Bahmani

Year 2013
Pages 132
Publisher Springer
Language en
ISBN 9783319018805
File Size 2.76 MB
File Format PDF
Download Counter 764
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Ebook Description

This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.