Quadratic programming feature selection for multicorrelated signal decoding with partial least squares-Reference-Cited by-同舟云学术

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Quadratic programming feature selection for multicorrelated signal decoding with partial least squares

Published:2022-11 Issue: Volume:207 Page:117967
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Isachenko R.V.^ORCID,Strijov V.V.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference34 articles.

1. A rewriting system for convex optimization problems;Agrawal;Journal of Control and Decision,2018

2. Extension of SO-PLS to multi-way arrays: SO-N-PLS;Biancolillo;Chemometrics and Intelligent Laboratory Systems,2017

3. Some Newton type methods for the regularization of nonlinear ill-posed problems;Blaschke,1996

4. On convergence rates for the iteratively regularized Gauss-Newton method;Blaschke;IMA Journal of Numerical Analysis,1997

5. Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys;Chao;Frontiers in Neuroengineering,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on target system selection of correlated data based on Bayesian network;2022 International Conference on Industrial Automation, Robotics and Control Engineering (IARCE);2022-06

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