Online active learning with expert advice

• Main Authors: Hao, Shuji, Hu, Peiying, Zhao, Peilin, Hoi, Steven C. H., Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Online Learning; Active Learning
• Online Access: https://hdl.handle.net/10356/143460
• Institution: Nanyang Technological 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...