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This paper proposes a novel prior knowledge based Green's kernel for long term chaotic time series prediction. A mathematical framework is presented to obtain the domain knowledge about the magnitude of the Fourier transform of the function to be predicted and design a prior knowledge based Green's kernel that exhibits optimal regularization properties by(More)
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