Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints

David Piringer, Stefan Wagner 0002, Christian Haider, Armin Fohler, Siegfried Silber, Michael Affenzeller. Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints. In Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia, editors, Computer Aided Systems Theory - EUROCAST 2022 - 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20-25, 2022, Revised Selected Papers. Volume 13789 of Lecture Notes in Computer Science, pages 155-163, Springer, 2022. [doi]

@inproceedings{PiringerWHFSA22,
  title = {Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints},
  author = {David Piringer and Stefan Wagner 0002 and Christian Haider and Armin Fohler and Siegfried Silber and Michael Affenzeller},
  year = {2022},
  doi = {10.1007/978-3-031-25312-6_18},
  url = {https://doi.org/10.1007/978-3-031-25312-6_18},
  researchr = {https://researchr.org/publication/PiringerWHFSA22},
  cites = {0},
  citedby = {0},
  pages = {155-163},
  booktitle = {Computer Aided Systems Theory - EUROCAST 2022 - 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20-25, 2022, Revised Selected Papers},
  editor = {Roberto Moreno-Díaz and Franz Pichler and Alexis Quesada-Arencibia},
  volume = {13789},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25312-6},
}