Theory of Optimal Experiments, 1972. ,
Plans d'expériences optimaux pour modèles linéaires, Plans d'expériences-Applications à l'entreprise ,
Optimum experimental designs, J. Roy. Statist. Soc, vol.21, pp.272-319, 1959. ,
Optimum designs in regression problems, Ann. Math. Statist, vol.30, pp.271-294, 1959. ,
The sequential generation of D-optimum experimental designs, Ann. Math. Statist, vol.41, pp.1655-1664, 1970. ,
Local optimality of replications from a minimal D-optimal design in regression: A sufficient and a quasi-necessary condition, J. Statist. Planning Inference, vol.29, pp.261-277, 1991. ,
Information-based objective functions for active data selection, Neural Comput, vol.4, pp.590-604, 1992. ,
Neural networks exploration using optimal experiment design, Advances in Neural Information Processing Systems. Cambridge, vol.6, 1994. ,
Plans d'expériences optimaux pour réseaux de neurones, 2004. ,
Toward the training of feed-forward neural networks with the D-optimum input sequence, IEEE Trans. Neural Netw, vol.17, issue.2, pp.357-373, 2006. ,
Linear Models-Least Squares and Alternatives, ser. Springer Series in Statistics ,
An algorithm for the construction of D-optimal experimental designs, Technometrics, vol.16, pp.203-210, 1974. ,
Nonlinear regression analysis and its applications, 1988. ,
Local overfiting control via leverages, Neural Comput, vol.14, pp.1481-1506, 2002. ,
An approach to sensitivity analysis of computer models, Part I. Introduction, input variable selection and preliminary variable assessment, J. Quality Technol, vol.13, pp.174-183 ,
The construction of exact D-optimal designs with application in blocking response surface designs, Biometrika, vol.76, pp.515-526, 1989. ,
Improving generalization with active learning, Mach. Learn, vol.15, pp.201-221, 1994. ,
Diverse ensembles for active learning, Proc. 21st Int. Conf, pp.584-591, 2004. ,
Active exploration in dynamic environments, Advances in Neural Information Processing Systems, vol.4, 1992. ,
Less is more: Active learning with support vector machines, Proc. 17th Int. Conf. Mach. Learn, pp.839-846, 2000. ,
Active learning for function approximation, Advances in Neural Information Processing Systems, vol.7, 1995. ,
Bagging predictors, Mach. Learn, vol.24, issue.2, pp.123-140, 1996. ,
An Introduction to the Bootstrap, 1993. ,
Sensitivity analysis for model output, performances of black box techniques on three international benchmark exercises, Comput. Statist. Data Anal, vol.13, pp.73-94, 1992. ,
Multiple-start directed search for improved NN solution, Proc. Int. Joint Conf. Neural Netw, pp.991-996, 2004. ,
Random Number Generation and Quasi-Monte Carlo Methods, 1992. ,