Algorithms for Sparsity-Constrained Optimization

Ebook Details


Sohail Bahmani

Year 2013
Pages 132
Publisher Springer
Language en
ISBN 9783319018805
File Size 2.76 MB
File Format PDF
Download Counter 870

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.