Titlebook: Matematica Numerica Esercizi, Laboratori e Progetti; Carlo D’Angelo,Alfio Quarteroni Textbook 20101st edition Springer-Verlag Italia 2010

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Carlo D’Angelo,Alfio Quarteroniema on the fly. Furthermore, the method could identify correlation of streaming time series thanks to their major extrema. An interesting application of the proposed method is to enable the task of online forecasting to predict future data points of streaming time series based on similarity search u

obsession

Carlo D’Angelo,Alfio Quarteroniema on the fly. Furthermore, the method could identify correlation of streaming time series thanks to their major extrema. An interesting application of the proposed method is to enable the task of online forecasting to predict future data points of streaming time series based on similarity search u

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Carlo D’Angelo,Alfio Quarteronig the fluctuation of the VN30 stock index are often very large, which is the main obstacle when forecasting this index..The purpose of this article is to perform a daily forecast of the VN30 index on a large dataset of predictors by using econometric techniques on factors extracted from the dataset

种植,培养

Carlo D’Angelo,Alfio Quarteronig the fluctuation of the VN30 stock index are often very large, which is the main obstacle when forecasting this index..The purpose of this article is to perform a daily forecast of the VN30 index on a large dataset of predictors by using econometric techniques on factors extracted from the dataset

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Carlo D’Angelo,Alfio Quarteroniralia and German credit have been used to test our method. The experimental results of the real world data showed that the proposed method results in a higher prediction rate than a baseline method for some certain datasets and also shows comparable and sometimes better performance than the feature

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