1. Grim, J.: On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions. Kybernetika 18(3), 173–190 (1982)
2. Grim, J.: Multivariate statistical pattern recognition with non-reduced dimensionality. Kybernetika 22(6), 142–157 (1986)
3. Grim, J.: Maximum-likelihood design of layered neural networks. In: International Conference on Pattern Recognition (Proceedings), pp. 85–89. IEEE Computer Society Press, Los Alamitos (1996)
4. Grim, J.: Design of multilayer neural networks by information preserving transforms. In: Pessa, E., Penna, M.P., Montesanto, A. (eds.) Third European Congress on Systems Science, pp. 977–982. Edizioni Kappa, Roma (1996)
5. Grim, J.: Discretization of probabilistic neural networks with bounded information loss. In: Rojicek, J., et al. (eds.) Computer-Intensive Methods in Control and Data Processing (Preprints of the 3rd European IEEE Workshop CMP 1998), September 7 – 9, 1998, pp. 205–210. UTIA AV CR, Prague (1998)