Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Reference47 articles.
1. Al-Helali B, Chen Q, Xue B, Zhang M (2018) A hybrid GP-KNN imputation for symbolic regression with missing values. In: Australasian joint conference on artificial intelligence. Springer, pp 345–357
2. Anjum A, Sun F, Wang L, Orchard J (2019) A novel continuous representation of genetic programmings using recurrent neural networks for symbolic regression. arXiv preprint arXiv:1904.03368
3. Arnaldo I, O’Reilly UM, Veeramachaneni K (2015) Building predictive models via feature synthesis. In: Proceedings of the 2015 annual conference on genetic and evolutionary computation, pp 983–990
4. Chen C, Luo C, Jiang Z (2017) Elite bases regression: A real-time algorithm for symbolic regression. In: 2017 13th international conference on natural computation, fuzzy systems and knowledge discovery (ICNC-FSKD). IEEE, pp 529–535
5. Chen Q (2018) Improving the generalisation of genetic programming for symbolic regression. PhD thesis, Victoria University of Wellington
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