Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression

Chen Liang, Kenneth D. Forbus. Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression. In Blai Bonet, Sven Koenig, editors, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. pages 551-557, AAAI Press, 2015. [doi]

@inproceedings{LiangF15,
  title = {Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression},
  author = {Chen Liang and Kenneth D. Forbus},
  year = {2015},
  url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10004},
  researchr = {https://researchr.org/publication/LiangF15},
  cites = {0},
  citedby = {0},
  pages = {551-557},
  booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA},
  editor = {Blai Bonet and Sven Koenig},
  publisher = {AAAI Press},
  isbn = {978-1-57735-698-1},
}