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Bibliografie

Jiří Vomlel

  1. Vomlel Jiří, Studený MilanGraphical and Algebraic Representatives of Conditional Independence Models , Advances in Probabilistic Graphical Models, p. 55-80 , Eds: Lucas Peter, Gámez José A., Salmerón Antonio [2007]

  1. Salman I., Vomlel JiříLearning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model , International Journal of Computing and Informatics vol.47, 1 (2023), p. 83-96 [2023] Download Download DOI: 10.31449/inf.v47i1.4497
  2. Kratochvíl Václav, Vomlel JiříInfluence diagrams for speed profile optimization , International Journal of Approximate Reasoning vol.88, 1 (2017), p. 567-586 [2017] Download DOI: 10.1016/j.ijar.2016.11.018
  3. Vomlel JiříGeneralizations of the noisy-or model , Kybernetika vol.51, 3 (2015), p. 508-524 [2015] Download DOI: 10.14736/kyb-2015-3-0508
  4. Vomlel Jiří, Tichavský PetrProbabilistic inference with noisy-threshold models based on a CP tensor decomposition , International Journal of Approximate Reasoning vol.55, 4 (2014), p. 1072-1092 [2014] Download DOI: 10.1016/j.ijar.2013.12.002
  5. Ottosen T. J., Vomlel JiříAll roads lead to Rome - New search methods for the optimal triangulation problem , International Journal of Approximate Reasoning vol.53, 9 (2012), p. 1350-1366 [2012] Download DOI: 10.1016/j.ijar.2012.06.006
  6. Studený Milan, Vomlel JiříOn open questions in the geometric approach to structural learning Bayesian nets , International Journal of Approximate Reasoning vol.52, 5 (2011), p. 627-640, Workshop on Uncertainty Processing WUPES'09 /8./, (Liblice, CZ, 19.09.2009-23.09.2009) [2011] Download DOI: 10.1016/j.ijar.2010.09.004
  7. Studený Milan, Vomlel Jiří, Hemmecke R.A geometric view on learning Bayesian network structures , International Journal of Approximate Reasoning vol.51, 5 (2010), p. 578-586, PGM 2008, [2010] Download DOI: 10.1016/j.ijar.2010.01.014
  8. Studený Milan, Vomlel JiříA reconstruction algorithm for the essential graph , International Journal of Approximate Reasoning vol.50, 2 (2009), p. 385-413 [2009] Download DOI: 10.1016/j.ijar.2008.09.001
  9. Rijmen F., Vomlel JiříAssessing the performance of variational methods for mixed logistic regression models , Journal of Statistical Computation and Simulation vol.78, 8 (2008), p. 765-779 [2008] DOI: 10.1080/00949650701282507
  10. Vomlel JiříNoisy-or classifier , International Journal of Intelligent Systems vol.21, 3 (2006), p. 381-389 [2006]
  11. Vomlel JiříProbabilistic reasoning with uncertain evidence , Neural Network World vol.15, 5 (2004), p. 453-465 [2004]
  12. Vomlel JiříIntegrating inconsistent data in a probabilistic model , Journal of Applied Non-Classical Logics vol.14, 3 (2004), p. 367-386 [2004]
  13. Vomlel JiříBuilding adaptive tests using Bayesian networks , Kybernetika vol.40, 3 (2004), p. 333-348 [2004]
  14. Kim Y. G., Valtorta M., Vomlel JiříA prototypical system for soft evidential update , Applied Intelligence vol.21, 1 (2004), p. 81-97 [2004]
  15. Vomlel JiříBayesian networks in educational testing , International Journal of Uncertainty Fuzziness and Knowledge-Based Systems vol.12, 1 (2004), p. 83-100 [2004]

  1. Pérez Cabrera Iván, Vomlel JiříOn Identifiability of BN2A Networks , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023., p. 136-148 , Eds: Bouraoui Zied, Vesic Srdjan, European Conference, ECSQARU 2023 /17./, (Arras, FR, 20230919) [2023] Download DOI: 10.1007/978-3-031-45608-4_11
  2. Rod M., Vomlel JiříImproving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture , Proceedings of the 25th International Conference on Enterprise Information Systems, p. 600-607 , Eds: Filipe Joaquim, Śmiałek Michał, Brodsky Alexander, Hammoudi Slimane, International Conference on Enterprise Information Systems 2023 /25./, (Praha, CZ, 20230424) [2023] Download DOI: 10.5220/0011855300003467
  3. Kratochvíl F., Saad G., Vomlel Jiří, Kratochvíl VáclavAutomatic Verb Classifier for Abui (AVC-abz) , Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference, p. 42-50, Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia, (Marseille, FR, 20220620) [2022] Download
  4. Peréz I., Vomlel JiříOn the rank of 2×2×2 probability tables , Proceedings of Machine Learning Research, Volume 186 : Proceedings of The 11th International Conference on Probabilistic Graphical Models, p. 361-372 , Eds: Salmerón Antonio, Rumí Rafael, International Conference on Probabilistic Graphical Models, (Almería, ES, 20221005) [2022] Download
  5. Kratochvíl F., Kratochvíl Václav, Vomlel JiříLearning Noisy-Or Networks with an Application in Linguistics , Proceedings of Machine Learning Research, Volume 186 : Proceedings of The 11th International Conference on Probabilistic Graphical Models, p. 277-288 , Eds: Salmerón Antonio, Rumí Rafael, International Conference on Probabilistic Graphical Models, (Almería, ES, 20221005) [2022] Download
  6. Kratochvíl F., Kratochvíl Václav, Saad G., Vomlel JiříModeling the spread of loanwords in South-East Asia using sailing navigation software and Bayesian networks , Proceedings of the 12th Workshop on Uncertainty Processing, p. 135-146 , Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P., WUPES 2022: 12th Workshop on Uncertainty Processing, (Kutná Hora, CZ, 20220601) [2022] Download
  7. Plajner Martin, Vomlel JiříBayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021., p. 255-267 , Eds: Vejnarová Jiřina, Wilson Nic, ECSQARU 2021 : Symbolic and Quantitative Approaches to Reasoning with Uncertainty, (Praha, CZ, 20210921) [2021] Download DOI: 10.1007/978-3-030-86772-0_19
  8. Carpitella Silvia, Izquierdo J., Plajner Martin, Vomlel JiříIntegrating the human factor in FMECA-based risk evaluation through Bayesian networks , Modelling for Engineering & Human Behaviour 2020, p. 24-29, Mathematical Modelling Conference in Engineering & Human Behaviour 2020, (Valencia, ES, 20200708) [2020] Download
  9. Švorc Jan, Vomlel JiříBayesian Networks for the Analysis of Subjective Well-Being , Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19), p. 175-188 , Eds: Inuiguchi Masahiro, Jiroušek Radim, Kratochvíl Václav, Czech-Japan Seminar on Data Analysis and Decision Making 2019 /22./, (Bojkovice, CZ, 20190925) [2019] Download
  10. Studený Milan, Kratochvíl Václav, Vomlel JiříOn irreducible min-balanced set systems , Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, p. 444-454 , Eds: Kern-Isberner G., Ognjanovic Z., European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2019) /15./, (Belgrade, RS, 20190918) [2019] Download DOI: 10.1007/978-3-030-29765-7_37
  11. Tichavský Petr, Vomlel JiříRepresentations of Bayesian Networks by Low-Rank Models , Proceedings of Machine Learning Research, p. 463-472 , Eds: Kratochvíl Václav, Studený Milan, International Conference on Probabilistic Graphical Models, (Praha, CZ, 20180911) [2018] Download
  12. Plajner Martin, Vomlel JiříGradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 153-164 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  13. Švorc Jan, Vomlel JiříEmploying Bayesian Networks for Subjective Well-being Prediction , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 189-204 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  14. Vomlel Jiří, Kratochvíl VáclavDynamic Bayesian Networks for the Classification of Sleep Stages , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 205-215 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  15. Plajner Martin, Magauina A., Vomlel JiříQuestion Selection Methods for Adaptive Testing with Bayesian Networks , Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 164-175 , Eds: Novák V., Inuiguchi M., Štěpnička M., The 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, (Pardubice, CZ, 20170917) [2017] Download
  16. Salman I., Vomlel JiříA machine learning method for incomplete and imbalanced medical data , Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, CZECH-JAPAN SEMINAR 2017, p. 188-195 , Eds: Novák Vilém, Inuiguchi Masahiro, Štěpnička Martin, Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /20./, (Pardubice, CZ, 20170917) [2017] Download
  17. Vomlel Jiří, Kratochvíl VáclavSolving Trajectory Optimization Problems by Influence Diagrams , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, p. 146-155 , Eds: Antonucci A., Cholvy L., Papini O., ECSQARU: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, (Lugano, CH, 20170710) [2017] Download DOI: 10.1007/978-3-319-61581-3_14
  18. Plajner Martin, Vomlel JiříMonotonicity in Bayesian Networks for Computerized Adaptive Testing , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, p. 125-134 , Eds: Antonucci A., Cholvy L., Papini O., ECSQARU: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, (Lugano, CH, 20170710) [2017] Download DOI: 10.1007/978-3-319-61581-3_12
  19. Plajner Martin, Vomlel JiříStudent Skill Models in Adaptive Testing , Proceedings of the Eighth International Conference on Probabilistic Graphical Models, p. 403-414 , Eds: Antonucci A., Corani G., Polpo de Campos C., International Conference on Probabilistic Graphical Models 2016 /8./, (Lugano, CH, 20160906) [2016] Download
  20. Kratochvíl Václav, Vomlel JiříInfluence Diagrams for the Optimization of a Vehicle Speed Profile , Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), p. 44-53 , Eds: Agosta J. M., Carvalho R. N., The Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015), (Amsterdam, NL, 16.07.2015) [2016] Download
  21. Plajner Martin, Vomlel JiříBayesian Network Models for Adaptive Testing , Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), p. 24-33 , Eds: Agosta J. M., Carvalho R. N., The Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015), (Amsterdam, NL, 16.07.2015) [2016] Download
  22. Djordjilović V., Chiogna M., Vomlel JiříAn empirical comparison of popular algorithms for learning gene networks , Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 61-72 , Eds: Kratochvíl V., WUPES 2015. Workshop on Uncertainty Processing /10./, (Monínec, CZ, 16.09.2015-19.09.2015) [2015] Download
  23. Vomlel Jiří, Kratochvíl VáclavInfluence diagrams for speed profile optimization" computational issues , Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 203-216 , Eds: Kratochvíl V., WUPES 2015. Workshop on Uncertainty Processing /10./, (Monínec, CZ, 16.09.2015-19.09.2015) [2015] Download
  24. Vomlel Jiří, Tichavský PetrAn Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper , Probabilistic Graphical Models, p. 535-550 , Eds: van der Gaag Linda C. , Feelders Ad J. , 7th European Workshop, PGM 2014,, (Utrecht, NL, 17.09.2014-19.09.2014) [2014] Download DOI: 10.1007/978-3-319-11433-0_35
  25. Vomlel Jiří, Tichavský PetrProbabilistic Inference in BN2T Models by Weighted Model Counting , Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, p. 275-284 , Eds: Jaeger Manfred, Nielsen Thomas Dyhre, Viappiani Paolo, The Scandinavian Conference on Artificial Intelligence (SCAI 2013) /12./, (Aalborg, DK, 20.11.2013-22.11.2013) [2013] Download DOI: 10.3233/978-1-61499-330-8-275
  26. Vomlel JiříA generalization of the noisy-or model to multivalued parent variables , Proceedings of the 16th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty (CJS-2013), p. 19-27, Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty (CJS-2013) /16./, (Mariánské Lázně, CZ, 19.09.2013-22.09.2013) [2013] Download
  27. Vomlel Jiří, Kružík H., Tůma P., Přeček J., Hutyra M.Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction , Proceedings of The Ninth Workshop on Uncertainty Processing, p. 204-213 , Eds: Kroupa Tomáš, Vejnarová Jiřina, The Ninth Workshop on Uncertainty Processing, (Mariánské Lázně, CZ, 12.09.2012-15.09.2012) [2012] Download
  28. Vomlel Jiří, Tichavský PetrComputationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition , Proceedings of The Sixth European Workshop on Probabilistic Graphical Models, p. 355-362, The Sixth European Workshop on Probabilistic Graphical Models, (Granada, ES, 19.09.2012-21.09.2012) [2012] Download
  29. Kratochvíl Václav, Kružík H., Tůma P., Vomlel Jiří, Somol PetrPredikce hospitalizační mortality u akutního infarktu myokardu , Sborník příspěvků MEDSODFT 2011, p. 128-138, MEDSOFT 2011, (Roztoky u Prahy, CZ, 29.03.2011-30.03.2011) [2011] Download
  30. Ottosen T., Vomlel JiříAll roads lead to Rome — New search methods for optimal triangulations , Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), p. 209-216, European Workshop on Probabilistic Graphical Models, (Helsinki, FI, 13.09.2010-15.09.2010) [2010] Download
  31. Ottosen T., Vomlel JiříHonour Thy Neighbour — Clique Maintenance in Dynamic Graphs , Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), p. 201-208, European Workshop on Probabilistic Graphical Models, (Helsinki, FI, 13.09.2010-15.09.2010) [2010] Download
  32. Studený Milan, Hemmecke R., Vomlel Jiří, Lindner S.Polyhedral approach to statistical learning graphical models , Abstracts of The 2nd CREST-SBM International Conference on Harmony of Groebner Bases and the Moderm Industrial Socienty, p. 1-4, The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Moderm Industrial Socienty", (Hotel Hankyu Expo Park, Osaka, JP, 28.06.2010-02.07.2010) [2010] Download
  33. Vomlelová M., Vomlel JiříApplying Bayesian networks in the game of Minesweeper , Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 153-162 , Eds: Novák V., Pavliska V., Štěpnička M., Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty /12./, (Litomyšl, CZ, 24.09.2009-27.09.2009) [2009] Download
  34. Vomlel Jiří, Savický PetrAn experimental comparison of triangulation heuristics on transformed BN2O networks , Proceedings of the 8th Workshop on Uncertainty Processing, p. 251-260 , Eds: Kroupa Tomáš, Vejnarová Jiřina, WUPES 2009, (Liblice, CZ, 19.09.2009-23.09.2009) [2009] Download
  35. Studený Milan, Vomlel JiříOn open questions in the geometric approach to learning BN structures , WUPES'09, p. 226-236 , Eds: Kroupa T., Vejnarová J., 8th Workshop on Uncertainty Processing, (Liblice, CZ, 19.09.2009-23.09.2009) [2009] Download
  36. Savický Petr, Vomlel JiříTriangulation Heuristics for BN2O Networks , Symbolic and Quantitative Approaches to Reasoning with Uncertainty, p. 566-577 , Eds: Sossai C., Chemello G., ECSQARU 2009. European Conference /10./, (Verona, IT, 01.07.2009-03.07. 2009) [2009] DOI: 10.1007/978-3-642-02906-6_49
  37. Studený Milan, Vomlel JiříA Geometric Approach to Learning BN Structures , Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), p. 281-288 , Eds: Jaeger Manfred, Nielsen Thomas D., the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), (Hirtshals, DK, 17.09.2008-19.09.2008) [2008] Download
  38. Vomlel Jiří, Savický PetrArithmetic circuits of the noisy-or models , Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), p. 297-304 , Eds: Jaeger Manfred , Nielsen Thomas D., the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), (Hirtshals, DK, 17.09.2008-19.09.2008) [2008] Download
  39. Jiroušek Radim, Kratochvíl Václav, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel Jiří, Hampl P., Hamplová H.An evaluation of string similarity measures on pricelists of computer components , Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, p. 1-6 , Eds: Kroupa T., Vejnarová J., Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, (Liblice, CZ, 15.09.2007-18.09.2007) [2007]
  40. Vomlel Jiří, Studený MilanUsing imsets for learning Bayesian networks , Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, p. 178-189 , Eds: Kroupa T., Vejnarová J., Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, (Liblice, CZ, 15.09.2007-18.09.2007) [2007]
  41. Savický Petr, Vomlel JiříExploiting Tensor Rank-one Decomposition in Probabilistic Inference, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/19 [2006]
  42. (Eds: Studený Milan, Vomlel Jiří )Proceedings of the 3th European Workshop on Probabilistic Graphical Models, Agentura Action M, (Praha 2006) , European Workshop on Probabilistic Graphical Models /3./, (Praha, CZ, 12.09.2006-15.09.2006) [2006]
  43. Savický Petr, Vomlel JiříTensor Rank-One Decomposition of Probability Tables , IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 2292-2299 , Eds: Bouchon-Meunier B., Yager R. R., IPMU 2006 /11./, (Paris, FR, 02.07.2006-07.07.2006) [2006]
  44. Vomlel JiříDecomposition of probability tables representing Boolean functions , Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 159-166 , Eds: Kroupa T., Vejnarová J., Oeconomica, (Praha 2005) , Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /8./, (Třešť, CZ, 18.09.2005-21.09.2005) [2005]
  45. Hamplová H., Ivánek J., Jiroušek Radim, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel JiříDecision support system for comparison of price lists , Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 32-38 , Eds: Kroupa T., Vejnarová J., Oeconomica, (Praha 2005) , Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /8./, (Třešť, CZ, 18.09.2005-21.09.2005) [2005]
  46. Savický Petr, Vomlel JiříTensor Rank-One Decomposition of Probability Tables, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/26 [2005]
  47. Studený Milan, Vomlel JiříTransition between graphical and algebraic representatives of Bayesian network models , Proceedings of the Second European Workshop on Probabilistic Graphical Models, p. 193-200, Probabilistic Graphical Models PGM'04 /2./, (Leiden, NL, 04.10.2004-08.10.2004) [2004]
  48. Vomlel JiříBayesian networks in Mastermind , Proceedings of the 7th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 185-190, Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /7./, (Awaji, JP, 31.08.2004-02.09.2004) [2004]
  49. Vomlel JiříThoughts on belief and model revision with uncertain evidence , Znalosti 2004. Sborník příspěvků 3.ročníku konference, p. 126-137, Znalosti 2004 /3./, (Brno, CZ, 22.02.2004-25.02.2004) [2004]
  50. Vomlel JiříNoisy-or classifier , Proceedings of the 6th Workshop on Uncertainty Processing, p. 291-302 , Eds: Vejnarorová J., University of Economics, (Prague 2003) , WUPES 2003. Workshop on Uncertainty Processing /6./, (Hejnice, CZ, 24.09.2003-27.09.2003) [2003]
  51. Vomlel JiříIntegrating inconsistent data in a probabilistic model , Uncertainty, Incompleteness, Imprecision and Conflict in Multiple Data Sources, p. 1-10 , Eds: Liu W., Cholvy L., Benferhat S., UUJ, (Aalborg 2003) , ECSQARU'03 /7./, (Aalborg, DK, 02.07.2003) [2003]
  52. Vomlel JiříTwo applications of Bayesian networks , Znalosti 2003. Sborník příspěvků 2. ročníku konference, p. 73-82 , Eds: Svátek V., VŠB, (Ostrava 2003) , Znalosti 2003 /2./, (Ostrava, CZ, 19.02.2003-21.02.2003) [2003]
  53. Vomlel JiříBayesian networks in educational testing , Proceedings of the First European Workshop on Probabilistic Graphical Models, p. 176-185 , Eds: Gámez J. A., Salmerón A., University of Castilla, (Cuenca 2002) , European Workshop on Probabilistic Graphical Models /1./ PGM'02, (Cuenca, ES, 06.11.2002-08.11.2002) [2002]
  54. Vomlel JiříStatistical methods for probabilistic model parameter estimation from incomplete data and their application to the marginal problem , Proceedings of the 4th Workshop on Uncertainty Processing, p. 184-193, VŠE, (Praha 1997) , WUPES '97 /4./, (Prague, CZ, 22.01.1997-25.01.1997) [1997]
  55. Jiroušek Radim, Vomlel JiříInconsistent knowledge integration in a probabilistic model , Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, p. 263-270 , Eds: Colleti G., Dubois D., Scozzafava R., Plenum Press, (New York 1995) , Mathematical Models for Handling Partial Knowledge in AI /18./, (Erice, IT, 19.06.1994-25.06.1994) [1995]
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