A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets

David Sommer, Martin Golz. A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets. In Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul, editors, From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005. Studies in Classification, Data Analysis, and Knowledge Organization, pages 150-157, Springer, 2005. [doi]

@inproceedings{SommerG05,
  title = {A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets},
  author = {David Sommer and Martin Golz},
  year = {2005},
  doi = {10.1007/3-540-31314-1_17},
  url = {http://dx.doi.org/10.1007/3-540-31314-1_17},
  tags = {data validation, machine learning, data-flow},
  researchr = {https://researchr.org/publication/SommerG05},
  cites = {0},
  citedby = {0},
  pages = {150-157},
  booktitle = {From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005},
  editor = {Myra Spiliopoulou and Rudolf Kruse and Christian Borgelt and Andreas Nürnberger and Wolfgang Gaul},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  publisher = {Springer},
  isbn = {978-3-540-31313-7},
}