A novel feature selection method based on global sensitivity analysis with application in machine learning-based prediction model-Reference-Cited by-同舟云学术

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A novel feature selection method based on global sensitivity analysis with application in machine learning-based prediction model

Published:2019-12 Issue: Volume:85 Page:105859
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhang Pin

Publisher

Elsevier BV

Subject

Software

Reference39 articles.

1. Intelligent approach to estimation of tunnel-induced ground settlement using wavelet packet and support vector machines;Zhang;J. Comput. Civ. Eng.,2017

2. Prediction of shield tunneling-induced ground settlement using machine learning techniques;Chen;Front. Struct. Civ. Eng.,2019

3. GA-SVM based feature selection and parameter optimization in hospitalization expense modeling;Tao;Appl. Soft Comput.,2019

4. Feature selection considering the composition of feature relevancy;Gao;Pattern Recognit. Lett.,2018

5. Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification;Hosseini;Appl. Soft Comput.,2019

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