Algorithms for Sparsity-Constrained Optimization
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Algorithms for Sparsity-Constrained Optimization
% SALE
% SALE
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.
Product details
- Type:
- Book
- Edition:
- 1
- Languages:
-
Original:
English
- Number of Pages:
-
132
- Publisher:
-
Springer
- Publication Date:
-
2013-10-18
- ISBN / EAN:
-
9783319018805
- Weight:
-
371 g
- Dimensions:
-
16/24/1 cm
- GPSR Manufacturer Reference:
-
[email protected]
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