BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification
作者: Hongjiao GuanYingtao ZhangH.D. ChengMin XianXianglong Tang
作者单位: 1School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
2School of Computer Science, Utah State University, Logan UT84322, USA
3Department of Computer Science, University of Idaho, Moscow, USA
刊名: Neurocomputing, 2019, Vol.357 , pp.125-134
来源数据库: Elsevier Journal
DOI: 10.1016/j.neucom.2019.04.047
关键词: Binary classificationAbstaining classificationReceiver operating characteristic (ROC) curveArea under the ROC curve (AUC)
原始语种摘要: Abstract(#br)Abstaining classifiers refrain from uncertain classifications to decrease errors and have been widely applied in critical fields. There are two types of abstaining classifiers: Chow’s rule-based and receiver operating characteristic (ROC)-based. Chow’s rule is obtained by minimizing the overall error rate given a reject rate. Therefore, Chow’s rule-based classifiers do not consider the difference between false positives and false negatives. ROC-based abstaining classifiers minimize cost functions; therefore, costs of classification and rejection need to set during the training stage. However, in real-world applications, misclassification costs of different classes are usually unequal. Furthermore, costs of classification and rejection are not easy to obtain and they may vary...
全文获取路径: Elsevier  (合作)
影响因子:1.634 (2012)

  • reject 拒绝
  • constraints 系统规定参数
  • negatives 负数
  • classification 分类
  • classifier 分级机
  • curve 弯曲
  • binary 二元的
  • satisfied 饱和了的
  • maximizing 最大化
  • minimize 最小化