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In this section we provide a Bayesian derivation of previous results for KRLS, obtained within the probabilistic framework of Gaussian Processes (GPs). This unifying interpretation offers a simpler, more intuitive view of KRLS, adds specific handling of uncertainty, and will prove specially useful to operate in non-stationary scenarios.
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