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• W3186427720 abstract "Motivated by the need for efficient and personalized learning in mobile health, we investigate the problem of online kernel selection for Gaussian Process regression in the multi-task setting. We propose a novel generative process on the kernel composition for this purpose. Our method demonstrates that trajectories of kernel evolutions can be transferred between users to improve learning and that the kernels themselves are meaningful for an mHealth prediction goal." @default.
• W3186427720 created "2021-08-02" @default.
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• W3186427720 date "2021-07-21" @default.
• W3186427720 modified "2023-09-23" @default.
• W3186427720 title "Online structural kernel selection for mobile health." @default.
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• W3186427720 hasPublicationYear "2021" @default.
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