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Algorithms for Sparsity-Constrained Optimization

Algorithms for Sparsity-Constrained Optimization

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783319018805
Condition
New
Product Description

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.

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