Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality

Franck Thollard, Pierre Dupont, Colin de la Higuera. Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. In Pat Langley, editor, Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Standord, CA, USA, June 29 - July 2, 2000. pages 975-982, Morgan Kaufmann, 2000.

@inproceedings{ThollardDH00,
  title = {Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality},
  author = {Franck Thollard and Pierre Dupont and Colin de la Higuera},
  year = {2000},
  researchr = {https://researchr.org/publication/ThollardDH00},
  cites = {0},
  citedby = {0},
  pages = {975-982},
  booktitle = {Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Standord, CA, USA, June 29 - July 2, 2000},
  editor = {Pat Langley},
  publisher = {Morgan Kaufmann},
  isbn = {1-55860-707-2},
}