Ing. Jiří Grim, CSc.

Vedoucí vědecký pracovník

Jiří Grim
grim@utia.cas.cz 266052215
Oddělení: Oddělení rozpoznávání obrazu
Vědecké zájmy: Statistické rozpoznávání; Pravděpodobnostní neuronové sítě; Pravděpodobnostní expertní systémy; Aplikace distribučních směsí

Životopis

Seznam publikací

Vystudoval fyzikální elektroniku (úroveň M.S.) na ČVUT v Praze. Získal titul Ph.D. titul v oboru informatika z Akademie věd ČR v roce 1981. V současné době působí v Ústavu teorie informace a automatizace AV ČR. Mezi jeho výzkumné zájmy patří statistické rozpoznávání vzorů, aplikace distribučních směsí při zpracování obrazu a pravděpodobnostní přístup k neuronovým sítím.

 

Interaktivní statistický model dat ze sčítání lidu v České republice v r. 2001 
 

Prezentace: A Statistical Approach to Local Evaluation of a Single Texture Image: (anglicky) pdf
Distribuční směsi I: pdf
Distribuční směsi II: pdf

Ocenění:
Nejlepší publikace (interní soutěž ústavu): Grim J: Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 31, No. 9, 2017.

Nejlepší publikace (interní soutěž ústavu): Grim J: Sequential Pattern Recognition by Maximum Conditional Informativity, Pattern Recognition Letters, Vol. 45, No. 1, pp. 39-45, 2014.

Cena Akademie věd České Republiky za vynikající vědecký výsledek: Mathematical modeling of visual properties of surface materials, member of the team led by prof. Ing. Michal Haindl, DrSc., 2011.

Nejlepší publikace (interní soutěž ústavu):: Somol P., Grim J., Novovičová J., Pudil P.: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects, Kybernetika, 2011.

Nejlepší publikace: Grim Jiří, Somol Petr, Pudil Pavel: Digital Image Forgery Detection by Local Statistical Models, Proc. 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, 2010.

Nejlepší publikace (interní soutěž ústavu): Grim J., Somol P., Haindl M., Daneš J: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. IEEE Transactions on Image Processing, 2009.

Nejlepší publikace (interní soutěž ústavu): Grim J., Hora, J.: Iterative principles of recognition in probabilistic neural networks. Neural Networks. Special Issue, 2008.

Nejlepší publikace (interní soutěž ústavu): Grim J.: Self-organizing maps and probabilistic neural networks. Neural Network World, 3(10): 407-415. 2000.

Cena Springer pro nejlepší publikaci: Grim J., Pudil P., Somol P.: Recognition of handwritten numerals by structural probabilistic neural network, Proc. Second ICSC Symposium on Neural Computation“, Berlin, 2000.

Výroční cena F. de P. Hanika: Grim J.: A Dialog Presentation of Census Results by Means of the Probabilistic Expert System PES, Proc. Eleventh European Meeting on Cybernetics and Systems Research“, Vienna, 1992.
 

Knihy a kapitoly

  1. Grim Jiří, Somol Petr: A Statistical Review of the MNIST Benchmark Data Problem, Advances in Pattern Recognition Research, p. 172-193, Eds: Lu T., Chao T.H. Stáhnout [2018]
  2. Vajda Igor, Grim Jiří: Neural networks, Systems Science and Cybernetics, p. 224-248 Stáhnout [2008]
  3. Grim Jiří: Pravděpodobnostní neuronové sítě, Umělá inteligence (4), p. 276-312, Eds: Mařík V., Štěpánková O., Lažanský J., Academia (Praha, 2003) [2003]
  4. Grim Jiří, Boček Pavel, Pudil Pavel: Interaktivní prezentace výsledků sčítání lidu pomocí pravděpodobnostních modelů se zaručenou ochranou anonymity dat, Manažerské rozhledy FM 2001. Sborník příspěvků, p. 13-18, VŠE (Jindřichův Hradec, 2002) [2002]

Články v časopisech

  1. Miklík Dalibor, Grim Jiří, Elleder Daniel, Hejnar Jiří: Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models, Genome Research 33 8 (2023), p. 1395-1408 Stáhnout DOI: 10.1101/gr.277694.123 [2023]
  2. Grim Jiří: Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial, International Journal of Pattern Recognition and Artificial Intelligence 31 Stáhnout DOI: 10.1142/S0218001417500288 [2017]
  3. Grim Jiří: Sequential pattern recognition by maximum conditional informativity, Pattern Recognition Letters 45 1 (2014), p. 39-45 Stáhnout DOI: 10.1016/j.patrec.2014.02.024 [2014]
  4. Somol Petr, Grim Jiří, Novovičová Jana, Pudil P.: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects, Kybernetika 47 3 (2011), p. 401-425 Stáhnout [2011]
  5. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic mixture-based image modelling, Kybernetika 47 3 (2011), p. 482-500 Stáhnout [2011]
  6. Grim Jiří, Hora Jan, Boček Pavel, Somol Petr, Pudil Pavel: Statistical Model of the 2001 Czech Census for Interactive Presentation, Journal of Official Statistics 4 (2010), p. 1-23 Stáhnout [2010]
  7. Grim Jiří, Hora J., Somol Petr, Boček Pavel, Pudil P.: Interaktivní statistický model dat ze sčítání lidu v České republice v r. 2001, Statistika: Statistics and Economy Journal 89 4 (2009), p. 285-299 Stáhnout [2009]
  8. Grim Jiří, Somol Petr, Haindl Michal, Daneš J.: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models, IEEE Transactions on Image Processing 18 4 (2009), p. 765-773 DOI: 10.1109/TIP.2008.2011168 [2009]
  9. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic Discrete Mixtures Colour Texture Models, Lecture Notes in Computer Science 2008 5197 (2008), p. 675-682 Stáhnout DOI: dx.doi.org/10.1007/978-3-540-85920-8_82 [2008]
  10. Grim Jiří, Hora Jan: Iterative principles of recognition in probabilistic neural networks, Neural Networks 21 6 (2008), p. 838-846 DOI: 10.1016/j.neunet.2008.03.002 [2008]
  11. Grim Jiří: Neuromorphic features of probabilistic neural networks, Kybernetika 43 5 (2007), p. 697-712 [2007]
  12. Grim Jiří, Hora Jan: Minimum Information Loss Cluster Analysis for Cathegorical Data, Lecture Notes in Computer Science 2007, p. 233-247 [2007]
  13. Haindl Michal, Grim Jiří, Mikeš Stanislav: Texture Defect Detection, Lecture Notes in Computer Science 2007, p. 987-994 Stáhnout [2007]
  14. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: Color Texture Segmentation by Decomposition of Gaussian Mixture Model, Lecture Notes in Computer Science 19 4225 (2006), p. 287-296 Stáhnout [2006]
  15. Grim Jiří: EM cluster analysis for categorical data, Lecture Notes in Computer Science 44 4109 (2006), p. 640-648 [2006]
  16. Grim Jiří, Somol Petr, Pudil Pavel: Probabilistic neural network playing and learning Tic-Tac-Toe, Pattern Recognition Letters 26 12 (2005), p. 1866-1873 [2005]
  17. Grim Jiří, Hora J., Pudil Pavel: Interaktivní reprodukce výsledků sčítání lidu pomocí statistického modelu se zaručenou ochranou anonymity dat, Statistika: Statistics and Economy Journal 40 5 (2004), p. 400-414 [2004]
  18. Grim Jiří, Just P., Pudil Pavel: Strictly modular probabilistic neural networks for pattern recognition, Neural Network World 13 6 (2003), p. 599-615 [2003]
  19. Grim Jiří, Haindl Michal: Texture modelling by discrete distribution mixtures, Computational Statistics and Data Analysis 41, p. 603-615 [2003]
  20. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Multiple classifier fusion in probabilistic neural networks, Pattern Analysis and Applications 5 7 (2002), p. 221-233 [2002]
  21. Grim Jiří, Pudil Pavel, Somol Petr: Probabilistic information retrieval from census data based on distribution mixtures, Acta Oeconomica Pragensia 8 2 (2000), p. 41-47 [2000]
  22. Grim Jiří: Self-organizing maps and probabilistic neural networks, Neural Network World 10 3 (2000), p. 407-415 [2000]
  23. Grim Jiří, Vejvalková J.: An iterative inference mechanism for the probabilistic expert system PES, International Journal of General Systems 27, p. 373-396 [1999]
  24. Grim Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula, Kybernetika 34 4 (1998), p. 417-422 [1998]
  25. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks, Kybernetika 34 4 (1998), p. 485-494 [1998]
  26. Grim Jiří: Knowledge representation and uncertainty processing in the probabilistic expert system PES, International Journal of General Systems 22 2 (1994), p. 103-111 [1994]
  27. Grim Jiří, Kolář Pavel: Akciové společnosti s téměř jistým převisem poptávky ve 4. kole, Hospodářské noviny 209 (1992), p. 8 [1992]
  28. Boček Pavel, Grim Jiří, Kolář Pavel: Kupónová privatizace zdárně pokračuje, Akcionář 3 15 (1992), p. 8 [1992]
  29. Boček Pavel, Grim Jiří, Kolář Pavel: Podle počítače. Porovnání výkonnosti českých a slovenských podniků, zařazených do první vlny kupónové privatizace, Hospodářské noviny 115 (1992), p. 8 [1992]
  30. Boček Pavel, Grim Jiří, Kolář Pavel: Kam s kupóny v druhém kole?, Hospodářské noviny 135 (1992), p. 8 [1992]
  31. Grim Jiří, Kolář Pavel: Kuponová privatizace: odhadování rizika převisů, Akcionář 3 21 (1992), p. 10-11 [1992]
  32. Grim Jiří: Probabilistic expert systems and distribution mixtures, Computers and Artificial Intelligence 9 3 (1990), p. 241-256 [1990]

Ostatní publikace

  1. Grim Jiří: Unsupervised Verification of Fake News by Public Opinion, UTIA (Praha, 2021) Stáhnout [2021]
  2. Grim Jiří: Platební regulační mechanismus jako zdroj zvyšování platů ve zdravotnictví, ÚTIA AV ČR v.v.i (Praha, 2018) Stáhnout [2018]
  3. Grim Jiří: Vyhodnocování grantové soutěže pomocí otevřené expertní databáze, ÚTIA AV ČR v.v.i (Praha, 2018) Stáhnout [2018]
  4. Grim Jiří: Feasibility Study of an Interactive Medical Diagnostic Wikipedia, SPMS 2016 Stochastic and Physical Monitoring Systems, p. 31-45 Stáhnout [2016]
  5. Grim Jiří, Pudil P.: Mixtures of Product Components versus Mixtures of Dependence Trees, Computational Intelligence, p. 365-382 Stáhnout DOI: 10.1007/978-3-319-26393-9_22 [2016]
  6. Grim Jiří: Approximating Probability Densities by Mixtures of Gaussian Dependence Trees, Stochastic and Physical Monitoring Systems, SPMS 2014 Stáhnout [2014]
  7. Grim Jiří, Pudil P.: Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees, NCTA2014 - International Conference on Neural Computation Theory and Applications, p. 65-75 Stáhnout [2014]
  8. Filip Jiří, Grim Jiří, Haindl Michal: A Probabilistic Approach to Rough Texture Compression and Rendering, MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, p. 8-12 Stáhnout [2013]
  9. Somol Petr, Grim Jiří, Filip Jiří, Pudil P.: On Stopping Rules in Dependency-Aware Feature Ranking, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p. 286-293 Stáhnout DOI: 10.1007/978-3-642-41822-8_36 [2013]
  10. Pudil P., Blažek L., Částek O., Somol P., Grim Jiří: Identification of Corporate Competitiveness Factors – Comparing Different Approaches, Proceedings of the International Conference on Management, Leadership and Governance 2013, p. 259-267 Stáhnout [2013]
  11. Grim Jiří, Lee G. L.: Evaluation of Screening Mammograms by Local Structural Mixture Models, Stochastic and Physical Monitoring Systems SPSM 2012, p. 51-61 Stáhnout [2012]
  12. Grim Jiří: Preprocessing of Screening Mammograms Based on Local Statistical Models, Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, p. 1-5 Stáhnout [2011]
  13. Somol Petr, Grim Jiří, Pudil P.: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), p. 502-509 Stáhnout DOI: 10.1109/ICSMC.2011.6083733 [2011]
  14. Somol Petr, Grim Jiří: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems, ÚTIA AV ČR, v.v.i (Praha, 2011) Stáhnout [2011]
  15. Grim Jiří, Hora Jan: Computational Properties of Probabilistic Neural Networks, Artificial Neural Networks – ICANN 2010, p. 31-40, Eds: Diamantaras K., Duch Wlodzislaw, Iliadis L.S. Stáhnout DOI: 10.1007/978-3-642-15825-4_4 [2010]
  16. Somol Petr, Grim Jiří, Pudil Pavel: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround, Proc. 2010 Int. Conf. on Pattern Recognition, p. 4396-4399 Stáhnout [2010]
  17. Grim Jiří, Somol Petr, Pudil Pavel: Digital Image Forgery Detection by Local Statistical Models, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, p. 579-582, Eds: Echizen Isao, Pan Jeng-Shyang, Fellner Dieter, Nouak Alexander, Kuijper Arjan, Jain Lakhmi C. Stáhnout DOI: 10.1109/IIHMSP.2010.147 [2010]
  18. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Colour Texture Representation Based on Multivariate Bernoulli Mixtures, 10th International Conference on Information Sciences, Signal Processing and their Applications, p. 578-581 Stáhnout [2010]
  19. Grim Jiří, Hora Jan: Recognition of Properties by Probabilistic Neural Networks, Artificial Neural Networks - ICANN 2009, p. 165-174, Eds: Polycarpou Marios, Alipi Cesare, Panayiotou Christos, Ellinas Georgios Stáhnout [2009]
  20. Somol Petr, Grim Jiří, Pudil Pavel: Criteria Ensembles in Feature Selection, Multiple Classifier Systems, LNCS 5519, p. 304-313, Eds: Benediktsson J.A., Kittler J., Roli F. [2009]
  21. Grim Jiří, Novovičová Jana, Somol Petr: Structural Poisson Mixtures for Classification of Documents, Proceedings of the 19th International Conference on Pattern Recognition, p. 1324-1327 Stáhnout [2008]
  22. Somol Petr, Novovičová Jana, Grim Jiří, Pudil Pavel: Dynamic Oscillating Search Algorithm for Feature Selection, ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition), p. 2308-2311 Stáhnout [2008]
  23. Grim Jiří, Somol Petr, Pudil Pavel, Míková I., Malec M.: Texture Oriented Image Inpainting based on Local Statistical Model, Proc. 10th IASTED Conf. on Signal & Image Processing, SIP 2008, p. 15-20 Stáhnout [2008]
  24. Grim Jiří: Extraction of Binary Features by Probabilistic Neural Networks, Artificial Neural Networks - ICANN 2008, p. 52-61, Eds: Kůrková V., Neruda R., Koutník J. [2008]
  25. Grim Jiří, Somol Petr: Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models, ÚTIA AV ČR (Praha, 2008) [2008]
  26. Grim Jiří, Hora Jan: Recurrent Bayesian Reasoning in Probabilistic Neural Networks, Artificial Neural Networks - ICANN 2007, p. 129-138, Eds: Marques de Sá J., Alexandre L. A., Duch W., Mandic D. [2007]
  27. Grim Jiří: Neuromorphic Features of Probabilistic Neural Networks, ÚTIA AV ČR (Praha, 2006) [2006]
  28. Grim Jiří, Haindl Michal, Somol Petr, Pudil Pavel: A subspace approach to texture modelling by using Gaussian mixtures, Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, p. 235-238, Eds: Haralic B., Ho T. K. [2006]
  29. Haindl Michal, Grim Jiří, Pudil Pavel, Kudo M.: A hybrid BTF model based on Gaussian mixtures, Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 95-100, Eds: Chantler M., Drbohlav O., IEEE (Los Alamitos, 2005) [2005]
  30. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: A statistical approach to local evalution of a single texture image, Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa, p. 171-176 [2005]
  31. Grim Jiří, Hora J., Boček Pavel, Somol Petr, Pudil P.: Information analysis of census data by using statistical models, Proceedings of the International Conference on Statistics - Investment in the Future, p. 1-7 [2004]
  32. Somol Petr, Pudil Pavel, Grim Jiří: On prediction mechanisms in Fast Branch & Bound algorithms, Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR International Workshops SSPR 2004 and SPR 2004. Proceedings, p. 716-724 Stáhnout [2004]
  33. Haindl Michal, Grim Jiří, Somol Petr, Pudil Pavel, Kudo M.: A Gaussian mixture-based colour texture model, Proceedings of the 17th IAPR International Conference on Pattern Recognition, p. 177-180 [2004]
  34. Grim Jiří, Somol Petr, Pudil Pavel, Just P.: Probabilistic neural network playing a simple game, Artificial Neural Networks in Pattern Recognition. Proceedings, p. 132-138, Eds: Marinai S., Gori M., University of Florence (Florence, 2003) [2003]
  35. Grim Jiří, Pudil Pavel, Somol Petr: Boosting in probabilistic neural networks, Proceedings of the 16th International Conference on Pattern Recognition, p. 136-139, Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society (Los Alamitos, 2002) Stáhnout [2002]
  36. Grim Jiří, Haindl Michal: A discrete mixtures colour texture model, Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 59-62, HeriotWatt University (Glasgow, 2002) [2002]
  37. Somol Petr, Pudil Pavel, Grim Jiří: Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms, Advances in Pattern Recognition - ICAPR 2001. Proceedings, p. 425-434, Eds: Singh S., Murshed N., Kropatsch W., Springer (Heidelberg, 2001) Stáhnout [2001]
  38. Grim Jiří, Haindl Michal: A Monospectral Probabilistic Discrete Mixture Texture Model, ÚTIA AV ČR (Praha, 2001) [2001]
  39. Grim Jiří: Latent Structure Analysis for Categorical Data, ÚTIA AV ČR (Praha, 2001) [2001]
  40. Grim Jiří, Haindl Michal: A mixture-based colour texture model. Abstract, Recent Developments in Mixture Modelling. Abstracts, p. 58, Eds: Bohning D., Seidel W., Universität der Bundeswehr (Hamburg, 2001) [2001]
  41. Grim Jiří: The models of conditional independence: Finite mixtures of product components and their application. Abstract, Recent Developments in Mixture Modelling. Abstracts, p. 59, Eds: Boehning D., Seidel W., Universität der Bundeswehr (Hamburg, 2001) [2001]
  42. Grim Jiří, Boček Pavel, Pudil Pavel: Safe dissemination of census results by means of interactive probabilistic models, Proceedings of the ETK-NTTS 2001 Conference, p. 849-856, Eds: Nanopoulos P., Wilkinson D., European Communities (Rome, 2001) [2001]
  43. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Information analysis of multiple classifier fusion, Multiple Classifier Systems, p. 168-177, Eds: Kittler J., Roli F., Springer (Berlin, 2001) [2001]
  44. 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) [2000]
  45. 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) [2000]
  46. 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) Stáhnout [2000]
  47. Grim Jiří, Pudil Pavel: Interactive presentation of socio-economic databases by means of probabilistic models, Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, p. 103-108, VŠE (Praha, 1999) [1999]
  48. 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) [1999]
  49. 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) Stáhnout [1999]
  50. Grim Jiří: Pravděpodobnostní neuronové sítě, ÚTIA AV ČR (Praha, 1999) [1999]
  51. 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) [1998]
  52. 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) Stáhnout [1998]
  53. 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) [1998]
  54. Pudil Pavel, Novovičová Jana, Grim Jiří: Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, ÚTIA AV ČR (Praha, 1997) [1997]
  55. 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) [1997]
  56. Grim Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula, Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 55-60, Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR (Praha, 1997) Stáhnout [1997]
  57. Grim Jiří: Maximum-Likelihood Structuring of Probabilistic Neural Networks, ÚTIA AV ČR (Praha, 1997) Stáhnout [1997]
  58. Vajda Igor, Grim Jiří: About Optimality of Probabilistic Basic Function Neural Networks, ÚTIA AV ČR (Praha, 1996) [1996]
  59. Grim Jiří: An Alternative Design of Mixture of Experts Architectures for Neural Networks, ÚTIA AV ČR (Praha, 1996) [1996]
  60. Grim Jiří: Design of multilayer neural networks by information preserving transforms, Third European Congress on Systems Science, p. 977-982, Eds: Pessa E., Penna M. P., Montesanto A., Edizioni Kappa (Roma, 1996) Stáhnout [1996]
  61. Grim Jiří: Discretization in Probabilistic Neural Networks with Bounded Information Loss, ÚTIA AV ČR (Praha, 1996) [1996]
  62. Grim Jiří: Maximum-likelihood design of layered neural networks, International Conference on Pattern Recognition. Proceedings, p. 85-89, IEEE Computer Society Press (Los Alamitos, 1996) [1996]
  63. Grim Jiří, Vavruška D.: Probabilistic Knowledge-based Models Defined by Finite Distribution Mixtures, ÚTIA AV ČR (Praha, 1996) [1996]
  64. Grim Jiří, Boček Pavel: Statistical model of Prague households for interactive presentation of census data, SoftStat '95. Advances in Statistical Software 5, p. 271-278, Eds: Faulbaum F., Bandilla W., Lucius & Lucius (Stuttgart, 1996) [1996]
  65. Grim Jiří, Vejvalková J.: An Interative Inference Mechanism for the Probabilistic Expert System PES, ÚTIA AV ČR (Praha, 1996) [1996]
  66. Vajda Igor, Grim Jiří: On Information Theoretic Optimality of Radial Basis Function Neural Networks, ÚTIA AV ČR (Praha, 1996) [1996]
  67. Grim Jiří: Multidimensional problems in the probabilistic expert system PES, Computer-Intensive Methods in Control and Signal Processing, p. 83-90, Eds: Kulhavá L., Kárný M., Warwick K., ÚTIA AV ČR (Praha, 1994) [1994]
  68. Grim Jiří, Boček Pavel: Statistical Model of Prague Households for Interactive Presentation of Census Data, ÚTIA AV ČR (Praha, 1994) [1994]
  69. Grim Jiří: Individualized voting scheme - a democratic violation of the democratic voting principle, Cybernetics and Systems '94, p. 1081-1088, World Scientific (Singapore, 1994) [1994]
  70. Grim Jiří: A Dialog Presentation of Census Results by Means of the Probabilistic Expert System PES, 11th European Meeting on Cybernetics and Systems Research '92, p. 997-1004, World Scientific (Singapore, 1992) [1992]
  71. Grim Jiří: Knowledge Representation and Uncertainty Processing in the Probabilistic Expert System PES, Workshop on Uncertainty Processing in Expert Systems, p. -, ÚTIA ČSAV (Prague, 1991) [1991]
  72. Grim Jiří: Histogramový expertní systém, MEDSOFT 88 - seminář o medicínském software, p. 28-30, ČSVTS Fakulta všeobecného lékařství UK (Praha, 1988) [1988]
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