Online Kernel Selection: Algorithms and Evaluations

• Main Authors: YANG, Tianbao, MAHDAVI, Mehrdad, JIN, Rong, YI, Jinfeng, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Computer Sciences; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/2344; https://ink.library.smu.edu.sg/context/sis_research/article/3344/viewcontent/Online_Kernel_Selection_Algorithms_and_Evaluations.pdf
• Institution: Singapore Management University

Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being used, identifying good kernels among a set of given kernels is important to the success of kernel methods. A straightfor...