Stock Market Movement Prediction by Gated Hierarchical Encoder

Author:

Chen Peibin,Tan Ying

Publisher

Springer International Publishing

Reference21 articles.

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2. Cogswell, M., Ahmed, F., Girshick, R.B., Zitnick, L., Batra, D.: Reducing overfitting in deep networks by decorrelating representations. In: Bengio, Y., LeCun, Y. (eds.) 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, 2–4 May 2016. Conference Track Proceedings (2016). http://arxiv.org/abs/1511.06068

3. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995). https://doi.org/10.1007/BF00994018

4. Ding, Q., Wu, S., Sun, H., Guo, J., Guo, J.: Hierarchical multi-scale gaussian transformer for stock movement prediction. In: Bessiere, C. (ed.) Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, pp. 4640–4646. ijcai.org (2020). https://doi.org/10.24963/ijcai.2020/640

5. Feng, F., Chen, H., He, X., Ding, J., Sun, M., Chua, T.: Enhancing stock movement prediction with adversarial training. In: Kraus, S. (ed.) Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 10–16 August 2019, pp. 5843–5849. ijcai.org (2019). https://doi.org/10.24963/ijcai.2019/810

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