Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach

Andrew Skabar. Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach. In Tamás D. Gedeon, Lance Chun Che Fung, editors, AI 2003: Advances in Artificial Intelligence, 16th Australian Conference on Artificial Intelligence, Perth, Australia, December 3-5, 2003, Proceedings. Volume 2903 of Lecture Notes in Computer Science, pages 735-746, Springer, 2003. [doi]

@inproceedings{Skabar03a,
  title = {Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach},
  author = {Andrew Skabar},
  year = {2003},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2903&spage=735},
  tags = {classification, data-flow, systematic-approach},
  researchr = {https://researchr.org/publication/Skabar03a},
  cites = {0},
  citedby = {0},
  pages = {735-746},
  booktitle = {AI 2003: Advances in Artificial Intelligence, 16th Australian Conference on Artificial Intelligence, Perth, Australia, December 3-5, 2003, Proceedings},
  editor = {Tamás D. Gedeon and Lance Chun Che Fung},
  volume = {2903},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-20646-9},
}