An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification

Flora Yu-Hui Yeh, Marcus Gallagher. An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification. In Marcus Gallagher, James M. Hogan, Frédéric Maire, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings. Volume 3578 of Lecture Notes in Computer Science, pages 220-227, Springer, 2005. [doi]

@inproceedings{YehG05,
  title = {An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification},
  author = {Flora Yu-Hui Yeh and Marcus Gallagher},
  year = {2005},
  doi = {10.1007/11508069_29},
  url = {http://dx.doi.org/10.1007/11508069_29},
  tags = {empirical, classification},
  researchr = {https://researchr.org/publication/YehG05},
  cites = {0},
  citedby = {0},
  pages = {220-227},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings},
  editor = {Marcus Gallagher and James M. Hogan and Frédéric Maire},
  volume = {3578},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-26972-X},
}