1. Hansen, L.K., Salamon, P.: Neural network ensembles. IEEE Trans. Pattern Analy. Mach. Intell. 12(10), 993–1001 (1990)
2. Schapire R.E.: The strength of weak learnability. Mach. Learn. 5(2), 197–227 (1990)
3. Krogh, A., Vedelsby, J.: Neural network ensembles, cross validation, and active learning. In: Tesauro, G. Touretzky, D.S. Leen T.K. (eds.) Advances in Neural Information Processing Systems 7, pp. 231–238. MIT, Cambridge, MA , (1995)
4. Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51(2), 181–207 (2003)
5. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to Boosting. J. Comput. Syst. Sci. 55(1), 119–139 (1997)