Multiple kernel learning: Difference between revisions

Revision as of 10:20, 4 June 2020

Revision as of 07:58, 21 October 2020

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Other approaches use a definition of kernel similarity, such as

:<math>A(K_1,K_2)=\frac{<\langle K_1,K_2> \rangle}{\sqrt{<\langle K_1,K_1>< \rangle\langle K_2,K_2>\rangle}}</math>

Using this measure, Qui and Lane (2009)<ref>Shibin Qiu and Terran Lane. A framework for multiple kernel support vector regression and its