A novel active multi-source transfer learning algorithm for time series forecasting
Author:
Funder
National Basic Research Program of China (973 Program)
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01871-5.pdf
Reference53 articles.
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3. Lee YS, Tong LI (2011) Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming. Knowl-Based Syst 24(1):66–72
4. Liang LZ, Shao F (2010) The study on short-time wind speed prediction based on time-series neural network algorithm Asia-Pacific Power Energy Eng Conf 2010
5. Mager J, Paasche U, Sick B (2009) "Forecasting financial time series with support vector machines based on dynamic kernels," 2008 IEEE Conference on Soft Computing in Industrial Applications, pp 252-257
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