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Maximum correntropy criterion based regression for multivariate calibration

  • Published:2017-02 Issue: Volume:161 Page:27-33
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Peng Jiangtao,Guo Lu,Hu Yong,Rao KaiFeng,Xie Qiwei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Strategic Priority Research Program of the CAS

State Key Joint Laboratory of Environment Simulation and Pollution Control

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference29 articles.

1. Support vector regression in sum space for multivariate calibration;Peng;Chemom. Intell. Lab. Syst.,2014

2. Perspectives in Probability and Statistics;Wold,1975

3. Orthogonal Projections to Latent Structures (OPLS);Trygg;J. Chemom.,2002

4. Variable and subset selection in PLS regression;Hoskuldsson;Chemom. Intell. Lab. Syst.,2001

5. A twist to partial least squares regression;Indahl;J. Chemom.,2005

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