A Bayesian-based classification framework for financial time series trend prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04834-4.pdf
Reference47 articles.
1. Bai-Ling Z, Coggins R, Jabri MA, Dersch D, Flower B (2001) Multiresolution forecasting for futures trading using wavelet decompositions. IEEE Trans Neural Netw 12(4):765–775. https://doi.org/10.1109/72.935090
2. Bengio Y, Frasconi P, Simard P (1993) The problem of learning long-term dependencies in recurrent networks. In: IEEE International Conference on Neural Networks, pp 1183–1188. https://doi.org/10.1109/ICNN.1993.298725
3. Bergstra JS, Bardenet R, Bengio Y, Kégl B (n.d.) Algorithms for hyper-parameter optimization, p 9
4. Bustos O, Pomares-Quimbaya A (2020) Stock market movement forecast: a Systematic review. Expert Syst Appl 156:113464. https://doi.org/10.1016/j.eswa.2020.113464
5. Carta S, Ferreira A, Podda AS, ReforgiatoRecupero D, Sanna A (2021) Multi-DQN: an ensemble of Deep Q-learning agents for stock market forecasting. Expert Syst Appl 164:113820. https://doi.org/10.1016/j.eswa.2020.113820
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