Integrating Nonlinear Dimensionality Reduction with Random Forests for Financial Distress Prediction-Reference-Cited by-同舟云学术

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Integrating Nonlinear Dimensionality Reduction with Random Forests for Financial Distress Prediction

Published:2014-10-10 Issue:3 Volume:43 Page:20131212
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Lin Fengyi¹,Yeh Ching-Chiang²,Lee Meng-Yuan³

Affiliation:

1. Department of Business Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei City, TW 10608, email: fengyi@mail.ntut.edu.tw

2. Department of Business Administration, National Taipei College of Business, Zhongzheng District, Taipei City, TW 100 (Corresponding author), e-mail: ychinc@webmail.ntcb.edu.tw

3. Department of Business Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei City, TW 10608.

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble;Journal of the Operational Research Society;2024-08-09

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