Discovery of Relevant Weights by Minimizing Cross-Validation Error

Kazumi Saito, Ryohei Nakano. Discovery of Relevant Weights by Minimizing Cross-Validation Error. In Takao Terano, Huan Liu, Arbee L. P. Chen, editors, Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings. Volume 1805 of Lecture Notes in Computer Science, pages 372-375, Springer, 2000.

@inproceedings{SaitoN00:1,
  title = {Discovery of Relevant Weights by Minimizing Cross-Validation Error},
  author = {Kazumi Saito and Ryohei Nakano},
  year = {2000},
  tags = {discovery},
  researchr = {https://researchr.org/publication/SaitoN00%3A1},
  cites = {0},
  citedby = {0},
  pages = {372-375},
  booktitle = {Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings},
  editor = {Takao Terano and Huan Liu and Arbee L. P. Chen},
  volume = {1805},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-67382-2},
}