Analysis of Credal-C4.5 for classification in noisy domains
详细信息 查看全文
- 作者：Carlos J. Mantas ; cmantas@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author ; Joaquí ; n Abellá ; n jabellan@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author ; Javier G. Castellano fjgc@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：Imprecise probabilities ; Imprecise Dirichlet model ; Uncertainty measures ; Credal decision trees ; C4.5 algorithm ; noisy data
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：61
- 期：Complete
- 页码：314-326
- 全文大小：644 K
文摘
- •
The robustness of Credal-C4.5 in noisy domains is analyzed. Credal-C4.5 depends on the ‘s’ parameter.
- •
The relation between noise level and value of s is studied in terms of accuracy.
- •
A large experimental study is carried out varying the values of s.
- •
The correct selection of s can improve notably the results for each noise level.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |