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Based on the Gaussian process (GP) regression, the relationship between the input-output pair can be modeled by the sum of the Gaussian noise and an unknown latent function evaluated on an input (LFEI). The acquisition of LFEI is thus essentially required. In this paper, a novel algorithm called kernel least mean square with tracking (KLMS-T) is proposed to estimate LFEI. Based on the existing kernel...
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