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A comparison of AdaBoost algorithms for time series forecast combination. (2016). Barrow, Devon K ; Crone, Sven F.
In: International Journal of Forecasting.
RePEc:eee:intfor:v:32:y:2016:i:4:p:1103-1119.

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Cited: 18

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  2. Identifying and Predicting Trends of Disruptive Technologies: An Empirical Study Based on Text Mining and Time Series Forecasting. (2023). Lv, Kun ; Fu, Dian ; Xiang, Minhao.
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  15. Short term load forecasting based on feature extraction and improved general regression neural network model. (2019). Liang, YI ; Hong, Wei-Chiang ; Niu, Dongxiao.
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  16. Stein-Rule Combination Forecasting on RFID Based Supply Chain. (2018). Wang, Wenjie ; Fan, Dandan ; Xu, QI.
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  17. Research and application of a combined model based on variable weight for short term wind speed forecasting. (2018). Li, Hongmin ; Guo, Zhenhai ; Lu, Haiyan ; Wang, Jianzhou.
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  18. Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China. (2018). Wang, Lin ; Zeng, Yu-Rong ; Lv, Sheng-Xiang.
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