Opitz, D., & Shavlik, J. (1996b). Generating accurate and diverse members of a neuralnetwork ensemble. In Touretsky, D., Mozer, M., & Hasselmo, M. (Eds.), *Advances* in Neural Information Processing Systems**, Vol. 8, pp. 535–541 Cambridge, MA. MIT**
Press.

Perrone, M. (1992). A soft-competitive splitting rule for adaptive tree-structured neural networks. In *Proceedings of the International Joint Conference on Neural Networks*,
pp. 689–693 Baltimore, MD.

Perrone, M. (1993). Improving Regression Estimation: Averaging Methods for Variance Reduction with Extension to General Convex Measure Optimization**. Ph.D. thesis,**
Brown University, Providence, RI.

Quinlan, J. (1993). *C4.5: Programs for Machine Learning***. Morgan Kaufmann, San Mateo,**
CA.

Quinlan, J. R. (1996). Bagging, boosting, and c4.5. In Proceedings of the Thirteenth National Conference on Artificial Intelligence**, pp. 725–730. Portland, OR.**
Rumelhart, D., Hinton, G., & Williams, R. (1986). Learning internal representations by error propagation. In Rumelhart, D., & McClelland, J. (Eds.), Parallel Distributed Processing: Explorations in the microstructure of cognition. Volume 1: Foundations, pp. 318–363. MIT Press, Cambridge, MA.

Schapire, R. (1990). The strength of weak learnability. *Machine Learning*, 5**(2), 197–227.**
Schapire, R., Freund, Y., Bartlett, P., & Lee, W. (1997). Boosting the margin: A new explanation for the effectiveness of voting methods. In Proceedings of the Fourteenth International Conference on Machine Learning**, pp. 322–330 Nashville, TN.**
Sollich, P., & Krogh, A. (1996). Learning with ensembles: How over-fitting can be useful.

In Touretsky, D., Mozer, M., & Hasselmo, M. (Eds.), *Advances in Neural Information* Processing Systems**, Vol. 8, pp. 190–196 Cambridge, MA. MIT Press.**
Tresp, V., & Taniguchi, M. (1995). Combining estimators using non-constant weighting functions. In Tesauro, G., Touretzky, D., & Leen, T. (Eds.), Advances in Neural Information Processing Systems**, Vol. 7, pp. 419–426 Cambridge, MA. MIT Press.**
Wolpert, D. (1992). Stacked generalization. *Neural Networks*, 5**, 241–259.**
Zhang, X., Mesirov, J., & Waltz, D. (1992). Hybrid system for **protein secondary structure**
prediction. Journal of Molecular Biology, 225**, 1049–1063.**