Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms

Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms

We propose the Weak Rescaled Pure Super Greedy Algorithm (WRPSGA) for approximation with respect to a dictionary <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">D</mi><...

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Bibliographic Details
Main Authors: Wenhui Zhang, Peixin Ye, Shuo Xing, Xu Xu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Axioms
Subjects:
super greedy algorithms
sparse approximation
supervised learning
convergence rate
Online Access:https://www.mdpi.com/2075-1680/11/9/437

Internet

https://www.mdpi.com/2075-1680/11/9/437

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