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Multi-class support vector machine for credit scoring

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成果类型:
期刊论文、会议论文
作者:
Tang, Bo*;Qiu, Saibing
通讯作者:
Tang, Bo
作者机构:
[Tang, Bo; Qiu, Saibing] Hunan City Univ, Math & Comp Sci Dept, Yiyang 413000, Peoples R China.
通讯机构:
[Tang, Bo] H
Hunan City Univ, Math & Comp Sci Dept, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
Credit Scoring;Multi-Class Support Vector Machine;Support Vector Machine (SVM)
期刊:
Applied Mechanics and Materials
ISSN:
1660-9336
年:
2012
卷:
235
页码:
419-422
会议名称:
3rd International Conference on Computing, Control and Industrial Engineering (CCIE 2012)
会议论文集名称:
Applied Mechanics and Materials
会议时间:
OCT 27-28, 2012
会议地点:
Wuhan, PEOPLES R CHINA
会议主办单位:
[Tang, Bo;Qiu, Saibing] Hunan City Univ, Math & Comp Sci Dept, Yiyang 413000, Peoples R China.
主编:
Zhong, Y
出版地:
LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-520-1
机构署名:
本校为第一且通讯机构
院系归属:
理学院
摘要:
The general credit scoring model is to solve the two classification problems, but in real life we often encounter multiple classification problems. This paper proposes a multi-class support vector machine, which can solve multiple classification problems in ...

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