Sohail Bahmani

Broschiertes Buch

Algorithms for Sparsity-Constrained Optimization

Beschreibung

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.

Autor

Dr. Bahmani completed his thesis at Carnegie Mellon University and is currently employed by the Georgia Institute of Technology.

Produktdetails

• Springer Theses 261
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-37719-3
• Softcover reprint of the original 1st ed. 2014
• Seitenzahl: 132
• Erscheinungstermin: 23. August 2016
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 230g
• ISBN-13: 9783319377193
• ISBN-10: 3319377191
• Artikelnr.: 45457790