1. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network;Bartlett;IEEE Trans. Inf. Theory,1998
2. C. Blake, C. Merz, UCI repository of machine learning databases, in: 〈http://www.ics.uci.edu/∼mlearn/MLRepository.html〉, Department of Information and Computer Sciences, University of California, Irvine, USA, 1998.
3. A parallel mixtures of SVMs for very large scale problems;Collobert;Neural Comput.,2002
4. Smooth function approximation using neural networks;Ferrari;IEEE Trans. Neural Networks,2005
5. Y. Freund, R.E. Schapire, Experiments with a new boosting algorithm, in: International Conference on Machine Learning, 1996, pp. 148–156.