Cost-sensitive online classification with adaptive regularization and its applications

• Main Authors: ZHAO, Peilin, ZHUANG, Furen, WU, Min, LI, Xiao-Li, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Cost-Sensitive Classification; Online Learning; Adaptive Regularization; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2923; https://ink.library.smu.edu.sg/context/sis_research/article/3923/viewcontent/AdaCSOC.pdf
• Institution: Singapore Management University

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...