Algorithms for Sparsity-Constrained Optimization:
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Bibliographic Details
Main Author: Bahmani, Sohail (Author)
Format: Electronic eBook
Language:English
Published: 2014
Series:Springer Theses : Recognizing Outstanding Ph.D. Research 261
Subjects:
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Inhaltsverzeichnis
Abstract
Item 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
Physical Description:1 Online-Ressource (XXI, 107 p.) 13 illus., 12 illus. in color
ISBN:9783319018812
DOI:10.1007/978-3-319-01881-2