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Cross-validation (CV) is a simple and universal tool to estimate generalization ability, however, existing CVs do not work well for periodicity, overlapping or correlation of series. The corresponding three criteria aimed at describing these properties are presented. Based on them, we put forward a novel Markov cross-validation (M-CV), whose data partition can be seen as a Markov process. The partition...
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