Online active learning with expert advice

• Main Authors: HAO, Shuji, HU, Peiying, ZHAO, Peilin, HOI, Steven C. H., MIAO, Chunyan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Online learning; active learning; expert advice; data streaming; Databases and Information Systems; Numerical Analysis and Scientific Computing; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4185; https://ink.library.smu.edu.sg/context/sis_research/article/5188/viewcontent/Online_Active_Learning_with_Expert_Advice_2018_afv.pdf
• Institution: Singapore Management University

In literature, learning with expert advice methods usually assume that a learner always obtain the true label of every incoming training instance at the end of each trial. However, in many real-world applications, acquiring the true labels of all instances can be both costly and time consuming, espe...