Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning

Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. In Fabio Cuzzolin, editor, Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings. Volume 8764 of Lecture Notes in Computer Science, pages 87-94, Springer, 2014. [doi]

@inproceedings{Sutton-CharaniDD14-0,
  title = {Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning},
  author = {Nicolas Sutton-Charani and Sébastien Destercke and Thierry Denoeux},
  year = {2014},
  doi = {10.1007/978-3-319-11191-9_10},
  url = {http://dx.doi.org/10.1007/978-3-319-11191-9_10},
  researchr = {https://researchr.org/publication/Sutton-CharaniDD14-0},
  cites = {0},
  citedby = {0},
  pages = {87-94},
  booktitle = {Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings},
  editor = {Fabio Cuzzolin},
  volume = {8764},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-11190-2},
}