Discussion and comments. Data mining et statistique
Journal de la société française de statistique, Volume 142 (2001) no. 1, p. 53-58
@article{JSFS_2001__142_1_53_0,
     author = {De Veaux, Richard D.},
     title = {Discussion and comments. Data mining et statistique},
     journal = {Journal de la soci\'et\'e fran\c caise de statistique},
     publisher = {Soci\'et\'e fran\c caise de statistique},
     volume = {142},
     number = {1},
     year = {2001},
     pages = {53-58},
     language = {en},
     url = {http://www.numdam.org/item/JSFS_2001__142_1_53_0}
}
De Veaux, Richard D. Discussion and comments. Data mining et statistique. Journal de la société française de statistique, Volume 142 (2001) no. 1, pp. 53-58. http://www.numdam.org/item/JSFS_2001__142_1_53_0/

[1] An J. and Owen A. B. (2001) Quasi-Regression. Journal of Complexity. To appear. | MR 1881660 | Zbl 0993.65018

[2] Cibas T., Soulié F., Gallinari P. and Raudys S. (1994). " Variable selection with optimal cell damage". In Maria Marinaro and Pietro G. Morasso, editors, Proceedings of the International Conference on Artificial Neural Networks, volume 1, pages 727-730. Springer-Verlag.

[3] De Veaux R.D., Ungar L.H. and Bain R. (1999) " Neural Networks for Chemometrics : A critical evaluation", Talk given at the Fall Technical Conference, American Society for Quality, Houston, October 1999.

[4] Friedman J. H. (1998) " Data mining and Statistics : What's the difference?" Technical Report, Stanford University available at http ://www-stat.stanford.edu/ jhf/.

[5] Friedman J. H. (1999) " Tutorial : Getting started with MART in S-plus" Technical Report,Stanford University, available at http ://www-stat.stanford.edu/ jhf/.

[6] Friedman J. H. (2001) " Greedy function approximation : A gradient boosting machine". The Annals of Statistics Vol. 29, No. 4. | MR 1873328 | Zbl 1043.62034

[7] Friedman J., Hastie T. and Tibshirani R. (2000) " Additive logistic regression : a statistical view of boosting (with discussion)", Annals of Statistics, 28 : 337-387. | MR 1790002 | Zbl 1106.62323

[8] Freund Y. (1995), ' Boosting a weak learning algorithm by majority', Information and Computation 121(2), 256-285. | MR 1348530 | Zbl 0833.68109

[9] Freund Y. and Schapire R. E. (1997), ' A decision-theoretic generalization of online learning and an application to boosting', Journal of Computer and System Sciences 55, 119-139. | MR 1473055 | Zbl 0880.68103

[10] Jordan M. I., and Jacobs R. A.(1994) " Hierarchical Mixtures of experts and the EM algorithm" Neural Computation 6, 181-214.

[11] Lecun Y., Denker J.S. and Solla S.A. (1990) Optimal Brain Damage in Advances in Neural Information Processsing Systems 2 (D.S. Touetzky, Edl.), San Mateo, CA, Morgan Kaufmann, pp. 598-605.

[12] Lemieux C. and Owen A. B. (2001) " Quasi-Regression and the Relative Importance of the ANOVA Components of a Function" To appear in proceedings of MCQMC-2000, Harald Niederreiter and Fred Hickernell, editors, Springer. | MR 1958864 | Zbl 0994.62061

[13] Owen A. B. (1992) " Orthogonal Arrays for Computer Experiments, Integration and Visualization". Statistica Sinica. Volume 2, Pages 439-452. | MR 1187952 | Zbl 0822.62064

[14] Owen A. B. (1994) " Lattice Sampling Revisited : Monte Carlo Variance of Means Over Randomized Orthogonal Arrays". Annals of Statistics, 22, 930-945. | MR 1292549 | Zbl 0807.62059

[15] Owen A. B. (2000) Assessing linearity in high dimensions. Annals of Statistics, volume 28, number 1, 1-19. | MR 1762901 | Zbl 1106.65306

[16] Schapire R. E. (1990), ' The strength of weak learnability', Machine Learning 5(2), 197-227. | Zbl 0747.68058