Greedy algorithm for sparse solutions: Provides faster and more accurate results than previous models
Guaranteed optimality: Ensures high-quality solutions for a range of problems
Comprehensive analysis: Explores techniques in machine learning and signal processing
Hardcover format: Durable and suitable for reference
Published by Springer: Trusted academic publisher
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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 inaccuracie