1. Arlot, S. (2010). A survey of cross-validation procedures for model selection, Statistics Survey4: 40–79.
2. Benoudjit, N., Archambeau, C., Lendasse, A., Lee, J. and Verleysen, M. (2002). Width optimization of the Gaussian Kernels in radial basis function networks, Proceedings of the 10th European Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, pp. 425–432.
3. Booker, A.J., Dennis, J.E., Frank, P.D., Serafini, D.B., Torczon, V. and Trosset, M.W. (1999). A rigorous framework for optimization of expensive functions by surrogates, Structural Optimization17(1): 1–13.
4. Büche, D., Schraudolph, N.N. and Koumoutsakos, P. (2005). Accelerating evolutionary algorithms with Gaussian process fitness function models, IEEE Transactions on Systems, Man, and Cybernetics C35(2): 183–194.
5. Chipperfield, A., Fleming, P., Pohlheim, H. and Fonseca, C. (1994). Genetic Algorithm TOOLBOX for Use with MATLAB, Version 1.2, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield.