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Algorithms for Sparsity-Constrained Optimization (PDF - Version)
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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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Will usually ship within 1 business day.- Delivery by email. Can be DOWNLOAD IMMEDIATELY after purchasing.
- PDF eBook eTextbook Only! NO Online Access. NO Physical Book, Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC).
- WE NOW ACCEPT CREDIT CARD, PAYPAL payments
- If you need EPUB Version, please contact to us.
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.
Estimated between and
Will usually ship within 1 business day.