Algorithms for Sparsity-Constrained Optimization

By Sohail Bahmani

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 3319018809
• ISBN13: 9783319018805
• Release Date: October 2013
• Publisher: Springer
• Length: 107 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.5" x 6.2" x 9.2"