Is there any feature selection methods for regression task except correlation coefficient? Greedy algorithms for feature selection methods of regression tasks are badly needed. Thank you very much for your help.
I would like to recommend the attached links, that may be more appropriate to your query:
1) https://bib.irb.hr/datoteka/763354.MIPRO_2015_JovicBrkicBogunovic.pdf
2) https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/Face-Alignment-by-Explicit-Shape-Regression.pdf
I hope it will help you.
https://www.analyticsvidhya.com/blog/2016/12/introduction-to-feature-selection-methods-with-an-example-or-how-to-select-the-right-variables/
https://www.math.upatras.gr/~dany/Downloads/hercma07.pdf
https://analyticsindiamag.com/what-are-feature-selection-techniques-in-machine-learning/
Article A Review of Feature Selection and Its Methods
https://bib.irb.hr/datoteka/763354.MIPRO_2015_JovicBrkicBogunovic.pdf
You may find some ideas over these links
https://thalis.math.upatras.gr/~dany/Downloads/hercma07.pdf
https://towardsdatascience.com/feature-selection-techniques-for-classification-and-python-tips-for-their-application-10c0ddd7918b
Try https://ww2.mathworks.cn/matlabcentral/fileexchange/70232-vcpa-based-hybrid-strategy?s_tid=prof_contriblnk.
Very efficient
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