Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine
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第一作者：Hui Li
发表时间：2014-01-01
发表刊物：Applied Soft Computing Journal
所属单位：工学院、职业技术教育学院
文献类型：期刊
卷号：Vol.19
页面范围：57-67
ISSN号：1568-4946
关键字：Financial;distress;identification;(FDI);Support;vector;machine;(SVM);Statistics-based;feature;selection;Wrapper
摘要：Support vector machine (SVM) is an effective tool for financial distress identification (FDI). However, a potential issue that keeps SVM from being efficiently applied in identifying financial distress is how to select features in SVM-based FDI. Although
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