Algorithms for Sparsity-Constrained Optimization
Author(s): Sohail Bahmani
Format: Hardback
Publisher: Springer International Publishing AG, Switzerland
Imprint: Springer International Publishing AG
ISBN-13: 9783319018805, 978-3319018805
Synopsis
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.