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Springer Theses

Springer Theses

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Springer Theses

Bahmani, Sohail

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.

Details

Published by: Springer

Publication Date: 2013-10-18

Format: Hardcover

ISBN-13: 9783319018805

DOI: 10.1007/978-3-319-01881-2

Dimensions: 235cm x155cm

Pages: 107

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