References

Bishop, C. M. 1995. Neural Networks for Pattern Recognition. Oxford: Oxford University Press.
Breiman, L. 1996. "Bagging Predictors." Machine Learning 24:123-140.
Breiman, L. 1998. "Arcing Classifiers." Annals of Statistics 26:801-824.
Freund, Y. 1995. "Boosting a weak learning algorithm by majority." Information and Computation 121:256-285.
Freund, Y. and R. Schapire. 1996. "Experiments with a new boosting algorithm." In Machine Learning: Proceedings of the Thirteenth International Conference, 148-156.
Friedman, H. J. 1999. "Greedy Function Approximation: A Gradient Boosting Machine." Technical report in postscript file trebst.ps available from: http://www.stat.stanford.edu/~jhf/ftp.
Friedman, H. J., T. Hastie, and R. Tibshirani. 1998. "Additive Logistic Regression: a Statistical View of Boosting." Technical report available through ftp: ftp://stat.stanford.edu/pub/friedman/boost.ps.Z.
Scott, A. J. and C. J. Wild. 1989. "Selection based on the response variable in logistic regression," In Analysis of Complex Surveys, eds. C. J. Skinner, D. Holt, and T. M. F. Smith, 191-205. New York: John Wiley & Sons.