Averaging of kernel functions

作者: Alessandra Tosi , Luis Antonio Belanche Muñoz

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摘要: In kernel-based machines, the integration of several kernels to build more flexible learning methods is a promising avenue for research. particular, in Multiple Kernel Learning compound kernel by that weighted mean sources. We show this paper only feasible average precisely arithmetic average. also three familiar means (the geometric, inverse root square and harmonic means) positive real values actually generate valid kernels.

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