Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-67667-4_31
Reference32 articles.
1. Aiolfi, M., Timmermann, A.: Persistence in forecasting performance and conditional combination strategies. J. Econometr. 135(1), 31–53 (2006)
2. Ali, A.R., Gabrys, B., Budka, M.: Cross-domain meta-learning for time-series forecasting. Proc. Comput. Sci. 126, 9–18 (2018)
3. Arlot, S., Celisse, A., et al.: A survey of cross-validation procedures for model selection. Stat. Surv. 4, 40–79 (2010)
4. Baylor, D., et al.: TFX: a tensorflow-based production-scale machine learning platform. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, pp. 1387–1395 (2017)
5. Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157–166 (1994)
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