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Online multiple kernel learning: algorithms and mistake bounds

ALT, (2010): 390-404

Cited by: 75|Views97
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Abstract

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 (OMKL), that aims to learn a kernel based ...More

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