Cost-sensitive online classification with adaptive regularization and its applications
Cost-Sensitive Online Classification is recently proposed to directly online optimize two well-known cost-sensitive measures: (i) maximization of weighted sum of sensitivity and specificity, and (ii) minimization of weighted misclassification cost. However, the previous existing learning algorithms...
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2015
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/2923 https://ink.library.smu.edu.sg/context/sis_research/article/3923/viewcontent/AdaCSOC.pdf |
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機構: | Singapore Management University |
語言: | English |