1. Bagging predictors;Breiman;Machine Learning,1996
2. L. Breiman, Bias, Variance, and Arcing Classifiers, Tech. Rep. 460, Statistics Department, University of California, Berkeley, CA 94720, April 1996. Anonymous FTP:ftp//ftp.stat.berkeley.edu/pub/users/breiman/arcing-the-edage.ps.Z
3. H. Drucker, Improving regressors using boosting techniques, in: J. Douglas, H. Fisher (Eds.), Machine Learning: Proceedings of the 14th International Conference, 1997
4. Y. Freund, R.E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting. in: Proceedings of the Second European Conference on Computational Learning Theory, Springer, Berlin, 1995, pp. 23–37
5. Neural networks and the bias variance dilemma;Geman;Neural Computation,1992