Machine Learning in Tennis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67256-9_11
Reference61 articles.
1. Baodong, Y. (2014). Hawkeye technology using tennis match. Computer Modelling New Technologies, 18(12C), 400–402.
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3. Bayram, F., Garbarino, D. & Barla, A. (2021). Predicting tennis match outcomes with network analysis and machine learning. In SOFSEM 2021: Theory and practice of computer science: 47th international conference on current trends in theory and practice of computer science, SOFSEM 2021, Bolzano-Bozen, Italy, January 25–29, 2021, Proceedings 47 (pp. 505–518). Springer.
4. Beal, R., Norman, T. J., & Ramchurn, S. D. (2019). Artificial intelligence for team sports: A survey. The Knowledge Engineering Review, 34, e28.
5. Boulier, B. L., & Stekler, H. O. (1999). Are sports seedings good predictors? An evaluation. International Journal of Forecasting, 15(1), 83–91.
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