Machine Learning Approach to Enhance the Design of Automated Theorem Provers

Mahdi Khalifa, Hazem Raafat, Mohammed Almulla. Machine Learning Approach to Enhance the Design of Automated Theorem Provers. In Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung, editors, Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II. Volume 7664 of Lecture Notes in Computer Science, pages 673-682, Springer, 2012. [doi]

@inproceedings{KhalifaRA12,
  title = {Machine Learning Approach to Enhance the Design of Automated Theorem Provers},
  author = {Mahdi Khalifa and Hazem Raafat and Mohammed Almulla},
  year = {2012},
  doi = {10.1007/978-3-642-34481-7_82},
  url = {http://dx.doi.org/10.1007/978-3-642-34481-7_82},
  researchr = {https://researchr.org/publication/KhalifaRA12},
  cites = {0},
  citedby = {0},
  pages = {673-682},
  booktitle = {Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II},
  editor = {Tingwen Huang and Zhigang Zeng and Chuandong Li and Chi-Sing Leung},
  volume = {7664},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-34480-0},
}