The Intersection of Machine Learning with Forecasting and Optimisation: Theory and Applications

Author:

Abolghasemi Mahdi

Publisher

Springer Nature Switzerland

Reference40 articles.

1. Abolghasemi, M., Abbasi, B. & HosseiniFard, Z. (2023). Machine learning for satisficing operational decision making: A case study in blood supply chain, International Journal Forecasting.

2. Abolghasemi, M., & Bean, R. (2022). How to predict and optimise with asymmetric error metrics. GitHub, Preprint.

3. Abolghasemi, M., & Esmaeilbeigi, R. (2021). State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge. arXiv preprint arXiv:2112.03595

4. Bello, I., Pham, H., Le, Q. V., Norouzi, M., & Bengio, S. (2021). Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940

5. Bertsimas, D., & Dunn, J. (2017). Optimal classification trees. Machine Learning, 106(7), 1039–1082.

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