Learning Classifications from Multiple Sources of Unsupervised Data

Charles X. Ling, Handong Wang. Learning Classifications from Multiple Sources of Unsupervised Data. In Gordon I. McCalla, editor, Advances in Artificial Intelligence, 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 96, Toronto, Ontario, Canada, May 21-24, 1996, Proceedings. Volume 1081 of Lecture Notes in Computer Science, pages 284-295, Springer, 1996.

@inproceedings{LingW96,
  title = {Learning Classifications from Multiple Sources of Unsupervised Data},
  author = {Charles X. Ling and Handong Wang},
  year = {1996},
  tags = {classification, data-flow, source-to-source, open-source},
  researchr = {https://researchr.org/publication/LingW96},
  cites = {0},
  citedby = {0},
  pages = {284-295},
  booktitle = {Advances in Artificial Intelligence, 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI  96, Toronto, Ontario, Canada, May 21-24, 1996, Proceedings},
  editor = {Gordon I. McCalla},
  volume = {1081},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-61291-2},
}