1. Breiman L (1996) Bagging predictors. Mach Learn 24(2):123–140
2. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
3. Brown G (2004) Diversity in neural network ensembles. PhD thesis, University of Birmingham
4. Brown G, Wyatt JL, Harris R, Yao X (2005) Diversity creation methods: a survey and categorisation. J Inf Fusion 6(1):5–20
5. Caruana R, Niculescu-Mizil A (2006) An empirical comparison of supervised learning algorithms. In: Proceedings of the 23rd international conference on machine learning. ACM, New York, pp 161–168