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Barnett, V. (1976) The ordering of multivariate data (with dis-cussion). J. Roy. Statist. Soc., A 139, 318–354.
Bishop, C. M. (1995) Neural Networks for Pattern Recognition. Oxford University Press.
Breiman, L. (1996) Bagging predictors. Machine Learning, 24, 123–140.
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.
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.
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.
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.
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.
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.
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.
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Kloesgen, W. Discussion on the paper by Friedman and Fisher. Statistics and Computing 9, 143–144 (1999). https://doi.org/10.1023/A:1008846600887
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DOI: https://doi.org/10.1023/A:1008846600887