Unsupervised Multiple Kernel Learning

• Main Authors: ZHUANG, Jinfeng, WANG, Jialei, HOI, Steven C. H., LAN, Xiangyang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2291; https://ink.library.smu.edu.sg/context/sis_research/article/3291/viewcontent/Unsupervised_Multiple_Kernel_Learning.pdf
• Institution: Singapore Management University

Traditional multiple kernel learning (MKL) algorithms are essentially supervised learning in the sense that the kernel learning task requires the class labels of training data. However, class labels may not always be available prior to the kernel learning task in some real world scenarios, e.g., an...