Meta-learning for time series forecastin
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Christiane Lemke; Bogdan Gabrys
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Article
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2010
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Elsevier Science
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English
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In research of time series forecasting, a lot of uncertainty is still related to the task of selecting an appropriate forecasting method for a problem. It is not only the individual algorithms that are available in great quantities; combination approaches have been equally popular in the last decade