Exploiting the categorical reliability difference for binary classification

Exploiting the categorical reliability difference for binary classification

In binary pattern classification, the reliabilities of statistics obtained from the samples of the two categories are generally different. When the statistics are used for modeling a classifier, such reliability difference could impact the generalization performance. We formulate a disparity index t...

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書目詳細資料
Main Authors:	Sun, Lei, Toh, Kar-Ann, Chen, Badong, Lin, Zhiping
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Electrical and electronic engineering Binary Classification Classification Algorithm
在線閱讀:	https://hdl.handle.net/10356/145211
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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