Algorithms for Sparsity-Constrained Optimization

von Sohail Bahmani

107 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Theses
• ISBN: 9783319018805
• Sprache: Englisch
• Erscheinungsdatum: 18.10.2013
• Genre: Technik/Elektronik, Elektrotechnik, Nachrichtentechnik
• Verlag: Springer International Publishing