Online Multiple Kernel Learning: Algorithms and Mistake Bounds

• Main Authors: JIN, Rong, HOI, Steven C. H., YANG, Tianbao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: On-line learning and relative loss bounds; Kernels; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2359; https://ink.library.smu.edu.sg/context/sis_research/article/3359/viewcontent/Online_Multiple_Kernel_Learning_Algorithms_and_Mistake_Bounds.pdf
• Institution: Singapore Management University

Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing the intersecting research. In this paper, we introduce a new research problem, termed Online Multiple Kernel Learning (O...