A Potential of Evolutionary Rule-based Machine Learning for Real World Applications

Keiki Takadama. A Potential of Evolutionary Rule-based Machine Learning for Real World Applications. In Juan Luis Jiménez Laredo, Sara Silva, Anna Isabel Esparcia-Alcázar, editors, Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings. pages 1039-1040, ACM, 2015. [doi]

@inproceedings{Takadama15,
  title = {A Potential of Evolutionary Rule-based Machine Learning for Real World Applications},
  author = {Keiki Takadama},
  year = {2015},
  doi = {10.1145/2739482.2768455},
  url = {http://doi.acm.org/10.1145/2739482.2768455},
  researchr = {https://researchr.org/publication/Takadama15},
  cites = {0},
  citedby = {0},
  pages = {1039-1040},
  booktitle = {Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings},
  editor = {Juan Luis Jiménez Laredo and Sara Silva and Anna Isabel Esparcia-Alcázar},
  publisher = {ACM},
  isbn = {978-1-4503-3488-4},
}