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pro vyhledávání: '"Cawood, Pieter"'
Autor:
Cawood, Pieter, van Zyl, Terence
Techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the
Externí odkaz:
http://arxiv.org/abs/2203.03279
Autor:
Cawood, Pieter, van Zyl, Terence L.
We investigate ensembling techniques in forecasting and examine their potential for use in nonseasonal time-series similar to those in the early days of the COVID-19 pandemic. Developing improved forecast methods is essential as they provide data-dri
Externí odkaz:
http://arxiv.org/abs/2108.08723