Jiří Grim

  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. [2018] Download
  2. Vajda Igor, Grim Jiří :  Neural networks , Systems Science and Cybernetics, p. 224-248 , Eds: Parra-Luna Francisco [2008] Download
  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 , Eds: Pudil P., VŠE, (Jindřichův Hradec 2002) [2002]

  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 vol.33, 8 (2023), p. 1395-1408 [2023] Download DOI: 10.1101/gr.277694.123
  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 vol.31, 1750028 [2017] Download DOI: 10.1142/S0218001417500288
  3. Grim Jiří :  Sequential pattern recognition by maximum conditional informativity , Pattern Recognition Letters vol.45, 1 (2014), p. 39-45 [2014] Download DOI: 10.1016/j.patrec.2014.02.024
  4. Somol Petr, Grim Jiří, Novovičová Jana, Pudil P. :  Improving feature selection process resistance to failures caused by curse-of-dimensionality effects , Kybernetika vol.47, 3 (2011), p. 401-425 [2011] Download
  5. Haindl Michal, Havlíček Vojtěch, Grim Jiří :  Probabilistic mixture-based image modelling , Kybernetika vol.47, 3 (2011), p. 482-500 [2011] Download
  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 [2010] Download
  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 vol.89, 4 (2009), p. 285-299 [2009] Download
  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 vol.18, 4 (2009), p. 765-773 [2009] DOI: 10.1109/TIP.2008.2011168
  9. Haindl Michal, Havlíček Vojtěch, Grim Jiří :  Probabilistic Discrete Mixtures Colour Texture Models , Lecture Notes in Computer Science vol.2008, 5197 (2008), p. 675-682, Iberoamerican Congress on Pattern Recognition /13./, (Havana, CU, 09.092008-12.09.2008) [2008] Download DOI: dx.doi.org/10.1007/978-3-540-85920-8_82
  10. Grim Jiří, Hora Jan :  Iterative principles of recognition in probabilistic neural networks , Neural Networks vol.21, 6 (2008), p. 838-846 [2008] DOI: 10.1016/j.neunet.2008.03.002
  11. Grim Jiří :  Neuromorphic features of probabilistic neural networks , Kybernetika vol.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 vol.2007, p. 233-247, International Conference on Machine Learning and Data Mining MLDM 2007 /5./, (Leipzig, DE, 18.07.2007-20.07.2007) [2007]
  13. Haindl Michal, Grim Jiří, Mikeš Stanislav :  Texture Defect Detection , Lecture Notes in Computer Science vol.2007, p. 987-994, Computer Analysis of Images and Patterns, (Vienna, AT, 27.08.2007-29.08.2007) [2007] Download
  14. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel :  Color Texture Segmentation by Decomposition of Gaussian Mixture Model , Lecture Notes in Computer Science vol.19, 4225 (2006), p. 287-296, Iberoamerican Congress on Pattern Recognition. CIARP 2006 /11./, (Cancun, MX, 14.11.2006-17.11.2006) [2006] Download
  15. Grim Jiří :  EM cluster analysis for categorical data , Lecture Notes in Computer Science vol.44, 4109 (2006), p. 640-648, Joint IAPR International Workshops SSPR 2006 and SPR 2006, (Hong Kong, CN, 17.08.2006-19.08.2006) [2006]
  16. Grim Jiří, Somol Petr, Pudil Pavel :  Probabilistic neural network playing and learning Tic-Tac-Toe , Pattern Recognition Letters vol.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 vol.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 vol.13, 6 (2003), p. 599-615 [2003]
  19. Grim Jiří, Haindl Michal :  Texture modelling by discrete distribution mixtures , Computational Statistics and Data Analysis vol.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 vol.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 vol.8, 2 (2000), p. 41-47 [2000]
  22. Grim Jiří :  Self-organizing maps and probabilistic neural networks , Neural Network World vol.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 vol.27, p. 373-396 [1999]
  24. 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]
  25. Vajda Igor, Grim Jiří :  About the maximum information and maximum likelihood principles in neural networks , Kybernetika vol.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 vol.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 vol.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 vol.3, 21 (1992), p. 10-11 [1992]
  32. Grim Jiří :  Probabilistic expert systems and distribution mixtures , Computers and Artificial Intelligence vol.9, 3 (1990), p. 241-256 [1990]

  1. Grim Jiří :  Unsupervised Verification of Fake News by Public Opinion, UTIA, (Praha 2021) Research Report 2390 [2021] Download
  2. Grim Jiří :  Platební regulační mechanismus jako zdroj zvyšování platů ve zdravotnictví, ÚTIA AV ČR v.v.i, (Praha 2018) Research Report 2373 [2018] Download
  3. Grim Jiří :  Vyhodnocování grantové soutěže pomocí otevřené expertní databáze, ÚTIA AV ČR v.v.i, (Praha 2018) Research Report 2371 [2018] Download
  4. Grim Jiří :  Feasibility Study of an Interactive Medical Diagnostic Wikipedia , SPMS 2016 Stochastic and Physical Monitoring Systems, p. 31-45, SPMS 2016 Stochastic and Physical Monitoring Systems, (Prague - Dobřichovice, CZ, 20.06.2016-24.06.2016) [2016] Download
  5. Grim Jiří, Pudil P. :  Mixtures of Product Components versus Mixtures of Dependence Trees , Computational Intelligence, p. 365-382, IJCCI 2014 - International Joint Conference on Computational Intelligence (Rome/Italy), (Rome, IT, 22.10.2014-24.10.2014) [2016] Download DOI: 10.1007/978-3-319-26393-9_22
  6. Grim Jiří :  Approximating Probability Densities by Mixtures of Gaussian Dependence Trees , Stochastic and Physical Monitoring Systems, SPMS 2014, Stochastic and Physical Monitoring Systems SPMS 2014, (Malá Skála, CZ, 23.06.2014-28.06.2014) [2014] Download
  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, 6-th International Conference on Neural Computation Theory and Applications, (Rome, IT, 22.10.2014-24.10.2014) [2014] Download
  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, MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, (Antalya, TR, 03.10.2013-04.10.2013) [2013] Download
  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, CIARP 2013, Iberoamerican Congress on Pattern Recognition /18./, (Havana, CU, 20.11.2013-23.11.2013) [2013] Download DOI: 10.1007/978-3-642-41822-8_36
  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, International Conference on Management, Leadership and Governance, (Bangkok, TH, 07.02.2013-08.02.2013) [2013] Download
  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, Stochastic and Physical Monitoring Systems, (Zlenice near Prague, CZ, 25.06.2012-30.06.2012) [2012] Download
  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, 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona, (Barcelona, ES, 25.10.2011-29.10.2011) [2011] Download
  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, The 2011 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), (Anchorage, Alaska, US, 09.10.2011-12.10.2011) [2011] Download DOI: 10.1109/ICSMC.2011.6083733
  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) Research Report 2295 [2011] Download
  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., ICANN 2010. International Conference on Artificial Neural Networks /20./, (Thessaloniki, GR, 15.09.2010-18.09.2010) [2010] Download DOI: 10.1007/978-3-642-15825-4_4
  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, 20th International Conference on Pattern Recognition, (Istanbul, TR, 23.08.2010-26.08.2010) [2010] Download
  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., 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), (Darmstadt, DE, 15.10.2010-17.10.2010) [2010] Download DOI: 10.1109/IIHMSP.2010.147
  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, 10th International Conference on Information Sciences, Signal Processing and their Applications, (Kuala Lumpur, MY, 10.05.2010-13.05.2010) [2010] Download
  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, 19th International Conference on Artificia Neural Networks, (Limassol, CY, 14.09.2009-17.09.2009) [2009] Download
  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., Multiple Classifier Systems, (Reykjavik, IS, 10.06.2009-12.06.2009) [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, 19th International Conference on Pattern Recognition, (Tampa, US, 07.12.2008-11.12.2008) [2008] Download
  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, ICPR 2008 (Int. Conf. on Pattern Recognition), (Tampa, Florida, US, 07.12.2008-11.12.2008) [2008] Download
  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 , Eds: Cristea P., 10th IASTED Conf. on Signal & Image Processing, SIP 2008, (Kailua-Kona, HI, US, 18.08.2008-20.08.2008) [2008] Download
  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., ICANN 2008. International Conference on Artificial Neural Networks /18./, (Prague, CZ, 03.09.2008-06.09.2008) [2008]
  25. Grim Jiří, Somol Petr :  Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models, ÚTIA AV ČR, (Praha 2008) Research Report 2217 [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., International Conference on Artificial Neural Networks /17./, (Porto, PT, 09.09.2007-13.09.2007) [2007]
  27. Grim Jiří :  Neuromorphic Features of Probabilistic Neural Networks, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/20 [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., International Conference on Pattern Recognition /18./, (Hong-Kong, CN, 20.08.2006-24.08.2006) [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) , International Workshop on Texture Analysis and Synthesis /4./, (Beijing, CN, 21.10.2005) [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 , Eds: Nicolls F., Annual Symposium of the Pattern Recognition Association of South Africa /16./, (Langebaan, ZA, 23.11.2005-25.11.2005) [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 , Eds: Krovák J., Statistics - Investment in the Future, (Prague, CZ, 06.09.2004-07.09.2004) [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, Joint IAPR Workshops SSPR 2004 and SPR 2004, (Lisbon, PT, 18.08.2004-20.08.2004) [2004] Download
  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, International Conference on Pattern Recognition /17./, (Cambridge, GB, 23.08.2004-26.08.2004) [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) , IAPR TC3 Workshop 2003 /1./, (Florence, IT, 12.09.2003-13.09.2003) [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) , International Conference on Pattern Recognition /16./, (Québec City, CA, 11.08.2002-15.08.2002) [2002] Download
  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 , Eds: Chantler M., HeriotWatt University, (Glasgow 2002) , Textures 2002, (Copenhagen, DK, 01.06.2002) [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) Lecture Notes in Computer Science. vol.2013 , ICAPR /2./, (Rio de Janeiro, BR, 11.03.2001-14.03.2001) [2001] Download
  38. Grim Jiří, Haindl Michal :  A Monospectral Probabilistic Discrete Mixture Texture Model, ÚTIA AV ČR, (Praha 2001) Research Report 2018 [2001]
  39. Grim Jiří :  Latent Structure Analysis for Categorical Data, ÚTIA AV ČR, (Praha 2001) Research Report 2019 [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) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001) [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) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001) [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) , Exchange of Technology and Know-How and New Techniques and Technologies for Statistics, (Hersonissos, GR, 18.06.2001-22.06.2001) [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) Lecture Notes in Computer Science. vol.2096 , Multiple Classifier Systems. MCS 2001, (Cambridge, GB, 02.07.2001-04.07.2001) [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) , International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000) [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) Lecture Notes in Computer Science. vol.1857 , First International Workshop MCS 2000, (Cagliari, IT, 21.06.2000-23.06.2000) [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) , NC 2000, (Berlin, DE, 23.05.2000-26.05.2000) [2000] Download
  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 , Eds: Plešingr J., VŠE, (Praha 1999) , Mathematical Methods in Economics '99 /17./, (Jindřichův Hradec, CZ, 14.09.1999-16.09.1999) [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) , European Congress on Systems Science /4./, (Valencia, ES, 20.09.1999-24.09.1999) [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) Studies in Classification, Data Analysis, and Knowledge Organization. , Annual GfKl Conference /22./, (Dresden, DE, 04.03.1998-06.03.1998) [1999] Download
  50. Grim Jiří :  Pravděpodobnostní neuronové sítě, ÚTIA AV ČR, (Praha 1999) Research Report 1953 [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) 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]
  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) , CMP'98 /3./, (Praha, CZ, 07.09.1998-09.09.1998) [1998] Download
  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) , ICPR '98 /14./, (Brisbane, AU, 16.08.1998-20.08.1998) [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) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) [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) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) [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) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) [1997] Download
  57. Grim Jiří :  Maximum-Likelihood Structuring of Probabilistic Neural Networks, ÚTIA AV ČR, (Praha 1997) Research Report 1894 [1997] Download
  58. Vajda Igor, Grim Jiří :  About Optimality of Probabilistic Basic Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1887 [1996]
  59. Grim Jiří :  An Alternative Design of Mixture of Experts Architectures for Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1883 [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) , European Congress on Systems Science /3./, (Rome, IT, 01.10.1996-04.10.1996) [1996] Download
  61. Grim Jiří :  Discretization in Probabilistic Neural Networks with Bounded Information Loss, ÚTIA AV ČR, (Praha 1996) Research Report 1878 [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) , Conference on Pattern Recognition /13./, (Vienna, AT, 25.08.1996-29.08.1996) [1996]
  63. Grim Jiří, Vavruška D. :  Probabilistic Knowledge-based Models Defined by Finite Distribution Mixtures, ÚTIA AV ČR, (Praha 1996) Research Report 1873 [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) , Conference on the Scientific Use of Statistical Software /8./, (Heidelberg, DE, 26.03.1995-30.03.1995) [1996]
  65. Grim Jiří, Vejvalková J. :  An Interative Inference Mechanism for the Probabilistic Expert System PES, ÚTIA AV ČR, (Praha 1996) Research Report 1866 [1996]
  66. Vajda Igor, Grim Jiří :  On Information Theoretic Optimality of Radial Basis Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1864 [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) , IEEE Workshop CMP '94, (Praha, CZ, 07.09.1994-09.09.1994) [1994]
  68. Grim Jiří, Boček Pavel :  Statistical Model of Prague Households for Interactive Presentation of Census Data, ÚTIA AV ČR, (Praha 1994) Research Report 1822 [1994]
  69. Grim Jiří :  Individualized voting scheme - a democratic violation of the democratic voting principle , Cybernetics and Systems '94, p. 1081-1088 , Eds: Trappl R., World Scientific, (Singapore 1994) , European Meeting on Cybernetics and Systems Research /12./, (Vienna, AT, 05.04.1994-08.04.1994) [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 , Eds: Trappl R., World Scientific, (Singapore 1992) , European Meeting on Cybernetics and Systems Research /11./, (Vienna, AT, 21.04.1992-24.04.1992) [1992]
  71. Grim Jiří :  Knowledge Representation and Uncertainty Processing in the Probabilistic Expert System PES , Workshop on Uncertainty Processing in Expert Systems, p. - , Eds: Jiroušek R., ÚTIA ČSAV, (Prague 1991) , WUPES '91, (Alšovice, CS, 09.09.1991-12.09.1991) [1991]
  72. Grim Jiří :  Histogramový expertní systém , MEDSOFT 88 - seminář o medicínském software, p. 28-30 , Eds: Kofránek J., ČSVTS Fakulta všeobecného lékařství UK, (Praha 1988) , MEDSOFT 88, (Praha, CS, 16.06.1988-17.06.1988) [1988]