New OPS Algorithms (2019)
版本 1.0.0 (75.8 KB) 作者:
Jussara Roque
Three new methods: autoOPS, feedOPS and iOPS
Matlab version 9.0 is required! Checked by JVR: 12/07/2024 e-mail address: jussararoque@gmail.com Reference: J.V. Roque, W. Cardoso, L.A. Peternelli, and R.F. Teófilo. Comprehensive new approaches for variable selection using ordered predictors selection. Analytica Chimica Acta (2019). https://doi.org/10.1016/j.aca.2019.05.039
引用格式
Roque, Jussara V., et al. “Comprehensive New Approaches for Variable Selection Using Ordered Predictors Selection.” Analytica Chimica Acta, vol. 1075, Elsevier BV, Oct. 2019, pp. 57–70, doi:10.1016/j.aca.2019.05.039.
Teófilo, Reinaldo F., et al. “Sorting Variables by Using Informative Vectors as a Strategy for Feature Selection in Multivariate Regression.” Journal of Chemometrics, vol. 23, no. 1, Wiley, Jan. 2009, pp. 32–48, doi:10.1002/cem.1192.
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---|---|---|---|
1.0.0 | See release notes for this release on GitHub: https://github.com/jussararoque/NewOPS/releases/tag/v1.0.0 |
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库。