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Algorithms for Sparsity-Constrained Optimization

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Algorithms for Sparsity-Constrained Optimization
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SP Springer Nature Author 21 449,00 JPY 29,00 JPY 21 478,00 JPY Available 5 days ago View offer

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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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