Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Naifei Zhao"'
Publikováno v:
IEEE Access, Vol 5, Pp 14047-14055 (2017)
Partial least squares (PLS) regression is a versatile modeling approach for high-dimensional data analysis. Recently, PLS-based variable selection has attracted great attention due to high-throughput data reduction and modeling interpretability. In t
Externí odkaz:
https://doaj.org/article/542868b4fce94d96b407481e1d3210f7
Publikováno v:
Combinatorial Chemistry & High Throughput Screening. 23:740-756
Aim and Objective: Near Infrared (NIR) spectroscopy data are featured by few dozen to many thousands of samples and highly correlated variables. Quantitative analysis of such data usually requires a combination of analytical methods with variable sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9af0dc0540d265d8a01e87a5ac49a36
https://doi.org/10.2174/1386207323666200428114823
https://doi.org/10.2174/1386207323666200428114823
Autor:
Naifei Zhao1, Qingsong Xu2, Man-Lai Tang3, Binyan Jiang4, Ziqi Chen2, Hong Wang2 wh@csu.edu.cn
Publikováno v:
Stat. 2020, Vol. 9 Issue 1, p1-11. 11p.
Publikováno v:
Stat. 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::760bbcef5af0b60d30cf57b7bf6bdac5
https://doi.org/10.1002/sta4.272
https://doi.org/10.1002/sta4.272