Skip to main content
Log in

Discussion on the paper by Friedman and Fisher

  • Published:
Statistics and Computing Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Barnett, V. (1976) The ordering of multivariate data (with dis-cussion). J. Roy. Statist. Soc., A 139, 318–354.

    Google Scholar 

  • Bishop, C. M. (1995) Neural Networks for Pattern Recognition. Oxford University Press.

  • Breiman, L. (1996) Bagging predictors. Machine Learning, 24, 123–140.

    Google Scholar 

  • Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984) Classification and Regression Trees. Wadsworth.

  • Clark, P. and Niblett, R. (1989) The CN2 induction algorithm. Machine Learning, 3, 261–284.

    Google Scholar 

  • Cohen W. W. (1995) Fast efficient rule induction. In Machine Learning: Proceedings of the Twelfth International Confer-ence, Lake Tahoe, CA (115–123). Morgan-Kaufmann.

  • Donoho, D. and Gasko, M. (1992) Breakdown properties of lo-cation estimates based on halfspace depth and projected outlyingness. Annals of Statistics, 20, 1803–1827.

    Google Scholar 

  • Efron, B. and Tibshirani, R. J. (1993) An Introduction to the Bootstrap, Chapman and Hall.

  • Friedman, J. H. (1997) On bias, variance, 0/1-loss, and the curse-of-dimensionality. Data Mining and Knowledge Discovery, 1, 55–77.

    Google Scholar 

  • Green, P. J. (1981) Peeling bivariate data. In Interpreting Multi-variate Data (V. Barnett, ed.) Wiley.

  • Griffin, W. L., Fisher, N. I., Friedman, J. H., Ryan, C. G., and O'Reilly, S. (1999) Cr-Pyrope garnets in lithospheric mantle. J. Petrology to appear.

  • Hall, P. (1989) On projection pursuit regression. Annals of Sta-tistics, 17, 573–588.

    Google Scholar 

  • Lorentz, G. G. (1986) Approximation of Functions. Chelsea.

  • Mitchell, T. M. (1997) Machine Learning. McGraw-Hill.

  • Quinlan, J. R. (1990) Learning logical definitions from relations. Machine Learning, 5, 239–266.

    Google Scholar 

  • Quinlan, J. R. (1994) C4.5: Programs for Machine Learning. Morgan-Kaufmann.

  • Quinlan, J. R. (1995) MDL and categorical theories (continued). In Machine Learning: Proceedings of the Twelfth Interna-tional Conference, Lake Tahoe, CA (464–470). Morgan-Kaufmann.

  • Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge University Press.

  • Rivest, R. L. (1987) Learning decision lists. Machine Learning, 2, 229–246.

    Google Scholar 

  • Tibshirani, R. J. and Knight, K. (1995) Model search and infer-ence by bootstrap “bumping”. Technical Report, University of Toronto.

  • Vapnik, V. (1995) The Nature of Statistical Learning Theory. Springer.

  • Wahba, G. (1990) Spline Models for Observational Data. SIAM.

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kloesgen, W. Discussion on the paper by Friedman and Fisher. Statistics and Computing 9, 143–144 (1999). https://doi.org/10.1023/A:1008846600887

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008846600887

Keywords

Navigation