1. K. M. Ali and M. J. Pazzani. Error reduction through learning multiple descriptions. Machine Learning, 24(3):173–202, September 1996.
2. E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning, Submitted:1–33, 1998.
3. L. Breiman. Heuristics of instability in model selection. Technical report, Statistics Department, University of California at Berkeley, California, 1994.
4. L. Breiman. Bagging predictors. Machine Learning, 24:123–140, 1996.
5. P. Chan and S. Stolfo. Meta-learning for multistrategy and parallel learning. In Proceeding of the Second International Work on Multistrategy Learning, pages 150–165, 1993.