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Generalization error bounds for kernel matrix completion and extrapolation
This paper analyzes the generalization error of such approaches, and presents numerical tests confirming the theoretical results.
Matrix completion and extrapolation via kernel regression
Matrix completion and extrapolation (MCEX) are dealt with here over reproducing kernel Hilbert spaces (RKHSs) in order to account for prior information present in the available data.
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