PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction

Scott E. Decatur. PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction. In Douglas H. Fisher, editor, Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), Nashville, Tennessee, USA, July 8-12, 1997. pages 83-91, Morgan Kaufmann, 1997.

@inproceedings{Decatur97,
  title = {PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction},
  author = {Scott E. Decatur},
  year = {1997},
  tags = {classification, e-science, partitioning},
  researchr = {https://researchr.org/publication/Decatur97},
  cites = {0},
  citedby = {0},
  pages = {83-91},
  booktitle = {Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), Nashville, Tennessee, USA, July 8-12, 1997},
  editor = {Douglas H. Fisher},
  publisher = {Morgan Kaufmann},
  isbn = {1-55860-486-3},
}