A Theoretical Framework for Decision Trees in Uncertain Domains: Application to Medical Data Sets

Bruno Crémilleux, C. Robert. A Theoretical Framework for Decision Trees in Uncertain Domains: Application to Medical Data Sets. In Elpida T. Keravnou, Catherine Garbay, Robert H. Baud, Jeremy C. Wyatt, editors, Artificial Intelligence Medicine, 6th Conference on Artificial Intelligence in Medicine in Europe, AIME 97, Grenoble, France, March 23-26, 1997, Proceedings. Volume 1211 of Lecture Notes in Computer Science, pages 145-156, Springer, 1997.

@inproceedings{CremilleuxR97,
  title = {A Theoretical Framework for Decision Trees in Uncertain Domains: Application to Medical Data Sets},
  author = {Bruno Crémilleux and C. Robert},
  year = {1997},
  tags = {application framework, data-flow, C++},
  researchr = {https://researchr.org/publication/CremilleuxR97},
  cites = {0},
  citedby = {0},
  pages = {145-156},
  booktitle = {Artificial Intelligence Medicine, 6th Conference on Artificial Intelligence in Medicine in Europe, AIME 97, Grenoble, France, March 23-26, 1997, Proceedings},
  editor = {Elpida T. Keravnou and Catherine Garbay and Robert H. Baud and Jeremy C. Wyatt},
  volume = {1211},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-62709-X},
}