A maximal accuracy and minimal difference criterion for multiple kernel learning

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Xiaojian Ding, Menghan Cui, Yi Li, Shilin Chen

Published: 01 Jan 2024, Last Modified: 30 Sept 2024Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•MRKL provides complementary information for investigating the data distribution.•We propose a new kernel selection criterion called MAMD.•MRKL can be combined with popular kernel combination strategies.