Feature Selection for Support Vector Machine in the Study of Financial Early Warning System-Reference-Cited by-同舟云学术

Feature Selection for Support Vector Machine in the Study of Financial Early Warning System

Author:

Li Jingxiang¹,Qin Yichen²,Yi Danhui¹³⁴,Li Yang¹³⁴,Shen Ye⁵

Affiliation:

1. School of Statistics; Renmin University of China; Beijing China

2. Department of Operations, Business Analytics and Information Systems; University of Cincinnati; Cincinnati, OH USA

3. Center for Applied Statistics; Renmin University of China; Beijing China

4. Statistical Consulting Center; Renmin University of China; Beijing China

5. Department of Epidemiology and Biostatistics; University of Georgia; Athens, GA USA

Funder

National Nature Science Foundation of China

Special Fund for Chinese Medicine Research in the Public Interest

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

Reference26 articles.

1. An introduction to variable and feature selection;Guyon;The Journal of Machine Learning Research,2003

2. Weston J Mukherjee S Chapelle O Pontil M Poggio T Vapnik V Feature selection for SVMs NIPS 2000 668 674

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