Balancing principle in supervised learning for a general regularization scheme-Reference-Cited by-同舟云学术

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Balancing principle in supervised learning for a general regularization scheme

Published:2020-01 Issue:1 Volume:48 Page:123-148
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Lu Shuai,Mathé Peter,Pereverzev Sergei V.

Funder

NSFC

Special Funds for Major State Basic Research Projects of China

Shanghai Municipal Education Commission

FWF

EU-Horizin 2020 MSC-RISE

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference26 articles.

1. A general method of constructing regularizing algorithms for a linear ill-posed equation in Hilbert space;Bakushinskii;USSR Comput. Math. Math. Phys.,1967

2. Regularization networks and support vector machines;Evgeniou;Adv. Comput. Math.,2000

3. On regularization algorithms in learning theory;Bauer;J. Complexity,2007

4. On early stopping in gradient descent learning;Yao;Constr. Approx.,2007

5. Spectral algorithms for supervised learning;Gerfo;Neural Comput.,2008

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