MKBoost: A framework of multiple kernel boosting

• Main Authors: XIA, Hao, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4176; https://ink.library.smu.edu.sg/context/sis_research/article/5179/viewcontent/MKBoost_SIAM_2011.pdf
• Institution: Singapore Management University

Multiple kernel learning (MKL) has been shown as a promising machine learning technique for data mining tasks by integrating with multiple diverse kernel functions. Traditional MKL methods often formulate the problem as an optimization task of learning both optimal combination of kernels and classif...