New OPS Algorithms (2019)

Version 1.0.0 (75,8 ko) par Jussara Roque

Three new methods: autoOPS, feedOPS and iOPS

https://github.com/jussararoque/NewOPS

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Mise à jour 12 juil. 2024

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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

Citation pour cette source

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.

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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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Compatibilité avec les versions de MATLAB

Créé avec R2016a

Compatible avec les versions R2016a à R2019a

Plateformes compatibles

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Version	Publié le	Notes de version
1.0.0	12 juil. 2024	See release notes for this release on GitHub: https://github.com/jussararoque/NewOPS/releases/tag/v1.0.0	Télécharger

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.

MLA	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.
APA	Roque, J. V., Cardoso, W., Peternelli, L. A., & Teófilo, R. F. (2019). Comprehensive new approaches for variable selection using ordered predictors selection. Analytica Chimica Acta, 1075, 57–70. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.aca.2019.05.039
BibTeX	@article{Roque_2019, doi = {10.1016/j.aca.2019.05.039}, url = {https://doi.org/10.1016%2Fj.aca.2019.05.039}, year = 2019, month = {oct}, publisher = {Elsevier {BV}}, volume = {1075}, pages = {57--70}, author = {Jussara V. Roque and Wilson Cardoso and Luiz A. Peternelli and Reinaldo F. Te{\'{o}}filo}, title = {Comprehensive new approaches for variable selection using ordered predictors selection}, journal = {Analytica Chimica Acta} }

MLA	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.
APA	Teófilo, R. F., Martins, J. P. A., & Ferreira, M. M. C. (2009). Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression. Journal of Chemometrics, 23(1), 32–48. Wiley. Retrieved from https://doi.org/10.1002%2Fcem.1192
BibTeX	@article{Te_filo_2009, doi = {10.1002/cem.1192}, url = {https://doi.org/10.1002%2Fcem.1192}, year = 2009, month = {jan}, publisher = {Wiley}, volume = {23}, number = {1}, pages = {32--48}, author = {Reinaldo F. Te{\'{o}}filo and Jo{\~{a}}o Paulo A. Martins and M{\'{a}}rcia M. C. Ferreira}, title = {Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression}, journal = {Journal of Chemometrics} }