Regularizing generalization error estimators: a novel approach to robust model selection

Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller. Regularizing generalization error estimators: a novel approach to robust model selection. In ESANN 2004, 12th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 28-30, 2004, Proceedings. pages 163-168, 2004. [doi]

@inproceedings{SugiyamaKM04,
  title = {Regularizing generalization error estimators: a novel approach to robust model selection},
  author = {Masashi Sugiyama and Motoaki Kawanabe and Klaus-Robert Müller},
  year = {2004},
  url = {http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2004-50.pdf},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/SugiyamaKM04},
  cites = {0},
  citedby = {0},
  pages = {163-168},
  booktitle = {ESANN 2004, 12th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 28-30, 2004, Proceedings},
}