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Bibliografie

IAA2075703

  1. Grim Jiří, Pudil Pavel, Somol Petr :  Probabilistic information retrieval from census data based on distribution mixtures , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 41-47 [2000]
  2. Grim Jiří :  Self-organizing maps and probabilistic neural networks , Neural Network World vol.10, 3 (2000), p. 407-415 [2000]
  3. Vajda Igor :  On consistency of M-estimators in models with a linear substructure: Part 2 , Discussiones Mathematicae vol.19, 2 (1999), p. 375-392 [1999]
  4. Vajda Igor :  On consistency of M-estimators in models with a linear substructure: Part 1 , Discussiones Mathematicae vol.19, 2 (1999), p. 355-373 [1999]
  5. Liese F., Vajda Igor :  M-estimators of structural parameters in pseudolinear models , Applications of Mathematics vol.44, 4 (1999), p. 245-270 [1999]
  6. Grim Jiří, Vejvalková J. :  An iterative inference mechanism for the probabilistic expert system PES , International Journal of General Systems vol.27, p. 373-396 [1999]
  7. Grim Jiří :  Mixture of experts architectures for neural networks as a special case of conditional expectation formula , Kybernetika vol.34, 4 (1998), p. 417-422 [1998]
  8. Vajda Igor, Grim Jiří :  About the maximum information and maximum likelihood principles in neural networks , Kybernetika vol.34, 4 (1998), p. 485-494 [1998]
  9. Vajda Igor, Lonek B., Nikolov V., Veselý A. :  Neural network realizations of Bayes decision rules for exponentially distributed data , Kybernetika vol.34, 5 (1998), p. 497-514 [1998]

  1. Grim Jiří, Pudil Pavel, Somol Petr :  Multivariate structural Bernoulli mixtures for recognition of handwritten numerals , Proceedings of the 15th International Conference on Pattern Recognition, p. 585-589 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society, (Los Alamitos 2000) , International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000) [2000]
  2. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr :  Combining multiple classifiers in probabilistic neural networks , Multiple Classifier Systems, p. 157-166 , Eds: Kittler J., Roli F., Springer, (Berlin 2000) Lecture Notes in Computer Science. vol.1857 , First International Workshop MCS 2000, (Cagliari, IT, 21.06.2000-23.06.2000) [2000]
  3. Grim Jiří, Pudil Pavel, Somol Petr :  Recognition of handwritten numerals by structural probabilistic neural networks , Proceedings of the Second ICSC Symposium on Neural Computation, p. 528-534 , Eds: Bothe H., Rojas R., ICSC, (Wetaskiwin 2000) , NC 2000, (Berlin, DE, 23.05.2000-26.05.2000) [2000] Download
  4. Grim Jiří :  Information approach to structural optimization of probabilistic neural networks , Fourth European Congress on Systems Science, p. 527-539 , Eds: Ferrer L., Caselles A., SESGE, (Valencia 1999) , European Congress on Systems Science /4./, (Valencia, ES, 20.09.1999-24.09.1999) [1999]
  5. Grim Jiří :  A sequential modification of EM algorithm , Classification in the Information Age. Proceedings, p. 163-170 , Eds: Gaul W., Locarek-Junge H., Springer, (Berlin 1999) Studies in Classification, Data Analysis, and Knowledge Organization. , Annual GfKl Conference /22./, (Dresden, DE, 04.03.1998-06.03.1998) [1999] Download
  6. Vajda Igor :  Neural networks classification in exponential models with unknown statistics , Classification in the Information Age. Proceedings, p. 336-343 , Eds: Gaul W., Locarek-Junge H., Springer, (Berlin 1999) Studies in Classification, Data Analysis, and Knowledge Organization. , Annual Conference of the German Classification Society GfKl /22./, (Dresden, DE, 04.03.1998-06.03.1998) [1999]
  7. Grim Jiří :  Pravděpodobnostní neuronové sítě, ÚTIA AV ČR, (Praha 1999) Research Report 1953 [1999]
  8. Berlinet A., Hobza T., Vajda Igor :  Analysis of Some New Histogram Based Estimators, Université Montpellier, (Montpellier 1998) Research Report 98-09 [1998]
  9. Vajda Igor :  On Consistency of M-estimators in Models with a Linear Substructure, ÚTIA AV ČR, (Praha 1998) Research Report 1931 [1998]
  10. Grim Jiří, Pudil Pavel :  On virtually binary nature of probabilistic neural networks , Advances in Pattern Recognition. Proceedings, p. 765-774 , Eds: Amin A., Dori D., Pudil P., Freeman H., Springer, (Berlin 1998) Lecture Notes in Computer Science. vol.1451 , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998) [1998]
  11. Grim Jiří :  Discretization of probabilistic neural networks with bounded information loss , Preprints of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing, p. 205-210 , Eds: Rojíček J., Valečková M., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1998) , CMP'98 /3./, (Praha, CZ, 07.09.1998-09.09.1998) [1998] Download
  12. Grim Jiří, Novovičová Jana, Pudil Pavel, Somol Petr, Ferri F. J. :  Initializing normal mixtures of densities , Proceedings of the 14th International Conference on Pattern Recognition, p. 886-890 , Eds: Jain A. K., Venkatesh S., Lovell B. C., IEEE, (Los Alamitos 1998) , ICPR '98 /14./, (Brisbane, AU, 16.08.1998-20.08.1998) [1998]
  13. Darbellay Georges A., Vajda Igor :  Entropy Expressions for Continuous Multivariate Distributions, ÚTIA AV ČR, (Praha 1998) Research Report 1920 [1998]
  14. Vajda Igor, Grim Jiří :  About the maximum information and maximum likelihood principles in neural networks , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 189-197 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) [1997]