Prof. Radim Jiroušek, DrSc.
senior research fellow

Biography
Publication list
Radim Jiroušek is a student and follower of the distinguished scientist of Greek origin, RNDr. Albert Perez, DrSc. Jiroušek graduated from the MFF UK (1969) and received academic degrees from the Academy of Sciences: CSc. (1979) and DrSc. (1993). After completing postgraduate studies, he accepted Perez's offer and commenced a research career at the Institute of Information Theory and Automation (ÚTIA) of the Czechoslovak Academy of Sciences. After 1998, he participated in forming the Department of Mathematical Decision Theory at ÚTIA, which he afterward led for more than five years. He also started teaching at the Czech Technical University in Prague and the University of Economics, Prague, and served in different academic positions for nearly twenty years at the latter. The international professional community knows Radim Jiroušek primarily for publications concerning the representation of multidimensional probability distributions and later for his theory of compositional models. He is the author or co-author of more than a hundred and fifty publications. His name is also connected with Workshops on Uncertainty Processing (famous WUPES), which have been organized since 1988. He also participated in the realization of several international projects. He was the local coordinator of three European projects within the fifth and sixth framework programs and the ESF EUROCORES project, The Logic of Causal and Probabilistic Reasoning in Uncertain Environments.
International grants awarded
- 2018 - 2019: MOST-18-04, The Czech Academy of Sciences, Compositional models for data mining
- 2008 - 2011: ICC/08/E010, EUROCORES - LogiCCC Logic of Causal and Probabilistic Reasoning under Uncertainty
- 2006 ± 2007: AKTION 45p16, Bilateral Austrian-Czech Grant Agency, Conditional Independence Models
- 2004 ± 2005: KONTAKT ± 2004/19, Bilateral Austrian-Czech Grant Agency, Perfect Sequences and their Application to Multidimensional Model Representation
- 1999 ± 2001: ERBIC15CT980315, European Community Grant Agency, Medical Guideline Technology
- 1999 ± 2001: KONTAKT ±1999-24, AKTION, Bilateral Austrian-Czech Grant Agency, Psychological and Algorithmic Methods to Construct Bayesian Networks
- 1997 ± 1998: Ministry of Foreign Affairs, Italy, Intelligent Systems - Research and Education
- 1995 ± 1996: AKTION - 7p3, Bilateral Austrian-Czech Grant Agency, Constructing Bayesian Networks from Incomplete Information
- 1994 ± 1996: CEC - CIPA3511CT930053, European Community Grant, Managing Uncertainty in Medicine
- 1991: CEC - CIPA3510CT920480, European Community Grant, Uncertainty Processing in Expert Systems
Supervised PhD thesis
- 2018 Lucie Váchová, Causal Bayesian networks: Modelling an Impact of Interventions in Economic Models;
Faculty of Management, University of Economics, Prague. - 2015 Simona Hašková, Managerial Calculations in Terms of Logic, Analytical Microeconomics and Other Theoretical Disciplines;
Faculty of Management, University of Economics, Prague. - 2012 Václav Kratochvíl, Probabilistic Compositional Models: solution of an equivalence problem.
Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague - 2011 Vladislav Bína, Multidimensional probabilistic distributions: Structure and learning.
Faculty of Management, University of Economics, Prague. - 2010 Jiří Přibil, Efektivní metody detekce plagiátů v rozsáhlých dokumentových skladech.
Faculty of Management, University of Economics, Prague. - 2009 Tomáš Kincl, Uživatelská spokojenost s webem: asymetrické vnímání atributů kvality webu.
Faculty of Management, University of Economics, Prague. - 2005 Tomáš Kroupa, States and Conditional Probability on MV-algebras.
Faculty of Electrical Engineering, Czech Technical University, Prague - 2001 Tomáš Kočka, Graphical Models: learning and applications;
Faculty of Informatics and Statistics, University of Economics, Prague. - 2001 Marta Vomlelová-Sochorová, Decision-theoretic troubleshooting;
Faculty of Informatics and Statistics, University of Economics, Prague. - 2000 Jan Klaschka, Mathematical methods for change of state evaluation in medical research (in Czech);
Mathematical-Physical Faculty, Charles University, Prague. - 2000 Jiří Vomlel, Methods of probabilistic knowledge integration;
Faculty of Electrical Engineering, Czech Technical University, Prague - 1990 Jiřina Vejnarová – Expertní znalosti a pravděpodobnostní rozhodování; Institute of Information Theory and Automation, Czechoslovak Academy of Sciences.
Current students
- Ing. Radek Švadlenka
Books and chapters
- Discrete Compositional Models for Data Mining, MatfyzPress (Praha, 2019) Download [2019] :
- A note on simple factorization in Dempster-Shafer theory of evidence, Witnessed Years – Essays in Honour of Petr Hájek, p. 151-167, Eds: Cintula Petr, Haniková Zuzana, Švejdar Vítězslav Download [2009] :
- Systémy pro podporu lékařského rozhodování, Universita Karlova - nakladatelství Karolinum (Praha, 2009) Download [2009] :
- Principy digitální komunikace, LEDA (Praha, 2006) [2006] :
- Basic Probability, VŠE (Praha, 2003) [2003] :
- Possibilistic belief network constructed by operators of composition and its application to financial analysis, Belief Functions in Business Decisions, p. 252-280, Eds: Srivastava R. P., Mock T. J., Physica Verlag (Heidelberg, 2002) [2002] :
- Metody reprezentace a zpracování znalostí v umělé inteligenci, VŠE (Praha, 1995) [1995] :
- MUM: Managing Uncertainty in Medicine, Health in the New Communications Age. Health Care Telematics for the 21st Century, p. 247-250, Eds: Laires M. F., Ladeira M. J., Christensen J. P. DOI: 10.3233/978-1-60750-868-7-247 [1995] :
- Uncertain Information Processing in Expert Systems, CRC Press (Boca Raton, 1992) Download [1992] :
- Zpracování nejisté informace v expertních systémech, MÚ ČSAV-ČSVTS (Praha, 1989) Download [1989] :
Journal articles
- Computing the decomposable entropy of belief-function graphical models, International Journal of Approximate Reasoning 161 Download Download DOI: 10.1016/j.ijar.2023.108984 [2023] :
- On conditional belief functions in directed graphical models in the Dempster-Shafer theory, International Journal of Approximate Reasoning 160 Download Download DOI: 10.1016/j.ijar.2023.108976 [2023] :
- Entropy for evaluation of Dempster-Shafer belief function models, International Journal of Approximate Reasoning 151 1 (2022), p. 164-181 Download Download DOI: 10.1016/j.ijar.2022.09.009 [2022] :
- Foundations of compositional models: inference, International Journal of General Systems 50 4 (2021), p. 409-433 Download Download DOI: 10.1080/03081079.2021.1895142 [2021] :
- On subjective expected value under ambiguity, International Journal of Approximate Reasoning 127 1 (2020), p. 70-82 Download Download DOI: 10.1016/j.ijar.2020.09.002 [2020] :
- A Note on Approximation of Shenoy's Expectation Operator Using Probabilistic Transforms, International Journal of General Systems 49 1 (2020), p. 48-63 Download Download DOI: 10.1080/03081079.2019.1692006 [2020] :
- On properties of a new decomposable entropy of Dempster-Shafer belief functions, International Journal of Approximate Reasoning 119 1 (2020), p. 260-279 Download Download DOI: 10.1016/j.ijar.2020.01.004 [2020] :
- A new definition of entropy of belief functions in the Dempster-Shafer theory, International Journal of Approximate Reasoning 92 1 (2018), p. 49-65 Download DOI: 10.1016/j.ijar.2017.10.010 [2018] :
- Causal compositional models in valuation-based systems with examples in specific theories, International Journal of Approximate Reasoning 72 1 (2016), p. 95-112 Download DOI: 10.1016/j.ijar.2015.10.003 [2016] :
- On computations with causal compositional models, Kybernetika 51 3 (2015), p. 525-539 Download Download DOI: 10.14736/kyb-2015-3-0525 [2015] :
- Foundations of compositional models: structural properties, International Journal of General Systems 44 1 (2015), p. 2-25 Download DOI: 10.1080/03081079.2014.934370 [2015] :
- Compositional models in valuation-based systems, International Journal of Approximate Reasoning 55 1 (2014), p. 277-293 Download DOI: 10.1016/j.ijar.2013.02.002 [2014] :
- A short note on multivariate dependence modeling, Kybernetika 49 3 (2013), p. 420-432 Download [2013] :
- Local computations in Dempster-Shafer theory of evidence, International Journal of Approximate Reasoning 53 8 (2012), p. 1155-1167 Download DOI: 10.1016/j.ijar.2012.06.012 [2012] :
- Compositional models and conditional independence in evidence theory, International Journal of Approximate Reasoning 52 3 (2011), p. 316-334 Download DOI: 10.1016/j.ijar.2010.02.005 [2011] :
- Foundations of compositional model theory, International Journal of General Systems 40 6 (2011), p. 623-678 Download DOI: 10.1080/03081079.2011.562627 [2011] :
- Probabilistic partial knowledge handling, International Journal of Approximate Reasoning 47 3 (2008), p. 359-367 [2008] :
- Marginalization in Multidimensional Compositional Models, Kybernetika 42 4 (2006), p. 405-422 [2006] :
- Data-Based Construction of Multidimensional Probabilistic Models with MUDIM, Logic Journal of the IGPL 14 3 (2006), p. 501-520 [2006] :
- On experimental system for multidimensional model development MUDIM, Neural Network World 13 5 (2003), p. 513-520 [2003] :
- Editorial note, Soft Computing 7 5 (2003), p. 279 [2003] :
- Construction of multidimensional models by operators of composition: current state of art, Soft Computing 7 5 (2003), p. 328-335 [2003] :
- General framework for multidimensional models, International Journal of Intelligent Systems 18 1 (2003), p. 107-127 [2003] :
- Decomposition of multidimensional distributions represented by perfect sequences, Annals of Mathematics and Artificial Intelligence 35, p. 215-226 [2002] :
- Perfect sequences for belief networks representation, Neural Network World 11 6 (2001), p. 611-626 [2001] :
- Bayesovské sítě - moderní technologie umělé inteligence, Lékař a technika. Biomedicinské inženýrství a informatika 29 4 (1998), p. 79-88 [1998] :
- Constructing probabilistic models, International Journal of Medical Informatics 45 6 (1997), p. 9-18 [1997] :
- On the effective implementation of the iterative proportional fitting procedure, Computational Statistics and Data Analysis 19, p. 177-189 [1995] :
- Tomáš Havránek, Computational Statistics and Data Analysis 19 2 (1995), p. 111-113 DOI: 10.1016/0167-9473(95)90000-4 [1995] :
- Decision-tree modelling of probability distributions, International Journal of General Systems 22 2 (1994), p. 125-137 [1994] :
- Solution of the Marginal Problem and Decomposable Distributions, Kybernetika 27 5 (1991), p. 403-412 [1991] :
- Computational aspects of knowledge integration process in probabilistic expert systems, Computational Statistics Quarterly 4 3 (1990), p. 299-306 [1990] :
- A survey of methods used in probabilistic expert systems for knowledge integration, Knowledge-Based Systems 3 1 (1990), p. 7-12 [1990] :
- A new model of combinatorial probability, Kybernetika 25, p. 52-58 [1989] :
Other publications
- A tribute to Klir’s research on entropy for belief functions, Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making, p. 42-51 Download Download [2024] :
- Entropy-Based Search for the Most Informative Belief Functions, Combining, Modelling and Analyzing Imprecision, Randomness and Dependence, p. 192-199 Download Download DOI: 10.1007/978-3-031-65993-5_23 [2024] :
- On Open Problems Associated with Conditioning in the Dempster-Shafer Belief Function Theory, Proceedings of the 23rd Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 1-10, Eds: Yoshifumi Kusunoki, Václav Kratochvíl, Masahiro Inuiguchi, Ondřej Čepek Download [2023] :
- On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions, Proceedings of Machine Learning Research, Volume 215: International Symposium on Imprecise Probability: Theories and Applications,, p. 259-269 Download [2023] :
- On Conditional Belief Functions in the Dempster-Shafer Theory, Belief Functions: Theory and Applications. BELIEF 2022, p. 207-218, Eds: Le Hégarat-Mascle Sylvie, Bloch Isabelle, Aldea Emanuel Download DOI: 10.1007/978-3-031-17801-6_20 [2022] :
- Two Composition Operators for Belief Functions Revisited, Proceedings of the 12th Workshop on Uncertainty Processing, p. 123-134, Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P. Download [2022] :
- Computing the Decomposable Entropy of Graphical Belief Function Models, Proceedings of the 12th Workshop on Uncertainty Processing, p. 111-122, Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P. Download [2022] :
- Measuring Quality of Belief Function Approximations, Integrated Uncertainty in Knowledge Modelling and Decision Making, p. 3-15, Eds: Honda Katsuhiro, Entani Tomoe, Ubukata Seiki, Huynh Van-Nam, Inuiguchi Masahiro Download DOI: 10.1007/978-3-030-98018-4_1 [2022] :
- Ambiguity effect: decision-making influenced by lack of information, 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE) Download DOI: 10.1109/ICTE51655.2021.9584706 [2021] :
- Entropy-Based Learning of Compositional Models from Data, Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021 - Proceedings, p. 117-126, Eds: Denœux T., Lefèvre E., Liu Z., Pichon F. Download DOI: 10.1007/978-3-030-88601-1_12 [2021] :
- Approximations of belief functions using compositional models, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 16th European Conference, ECSQARU 2021 Proceedings, p. 354-366, Eds: Vejnarová J., Wilson N. Download DOI: 10.1007/978-3-030-86772-0_26 [2021] :
- A General Approach to Probabilistic Data Mining, Sensor Networks and Signal Processing, p. 325-340, Eds: Peng Sheng-Lung, Favorskaya Margarita N., Chao Han-Chieh Download DOI: 10.1007/978-981-15-4917-5_25 [2021] :
- Performance of Probabilistic Approach and Artificial Neural Network on Questionnaire Data Concerning Taiwanese Ecotourism, Sensor Networks and Signal Processing, p. 283-295, Eds: Peng Sheng-Lung, Favorskaya Margarita N., Chao Han-Chieh Download DOI: 10.1007/978-981-15-4917-5_22 [2021] :
- Compositional Models: Iterative Structure Learning from Data, Sensor Networks and Signal Processing, p. 379-395, Eds: Peng Sheng-Lung, Favorskaya Margarita N., Chao Han-Chieh Download DOI: 10.1007/978-981-15-4917-5_28 [2021] :
- On Experimental Part of Behavior under Ambiguity, Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19), p. 83-94, Eds: Inuiguchi Masahiro, Jiroušek Radim, Kratochvíl Václav Download [2019] :
- Preliminary Results from Experiments on the Behavior under Ambiguity, Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19), p. 53-64, Eds: Inuiguchi Masahiro, Jiroušek Radim, Kratochvíl Václav Download [2019] :
- Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making, MatfyzPress (Praha, 2019) Download [2019] :
- On Expected Utility Under Ambiguity, Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, p. 137-147, Eds: Kern-Isberner G., Ognjanovic Z. Download DOI: 10.1007/978-3-030-29765-7_12 [2019] :
- Efficient implementation of compositional models for data mining, Proceedings of the 21st Czech-Japan Seminar od Data Analysis and Decision Making, p. 80-87, Eds: Sung Shao-Chin, Vlach Milan Download [2018] :
- Compositional Models for Data Mining: an Example, Proceedings of the 21st Czech-Japan Seminar od Data Analysis and Decision Making, p. 90-101, Eds: Sung Shao-Chin, Vlach Milan Download [2018] :
- Causality and Intervention in Business Process Management, Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 15-24, Eds: Novák V., Inuiguchi M., Štěpnička M. Download [2017] :
- Avoiding overfitting of models: an application to research data on the Internet videos, Proceedings of the 35th International Conference Mathematical Methods in Economics (MME 2017), p. 289-294 Download [2017] :
- Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective, Belief Functions: Theory and Applications, p. 3-13, Eds: Vejnarová Jiřina, Kratochvíl Václav Download DOI: 10.1007/978-3-319-45559-4_1 [2016] :
- Sequential Decision Process Supported by a Compositional Model, Integrated Uncertainty in Knowledge Modelling and Decision Making, p. 51-63, Eds: Huynh Van-Nam, Inuiguchi Masahiro, Le Bac, Le Bao Nguyen, Denoeux Thierry Download DOI: 10.1007/978-3-319-49046-5_5 [2016] :
- Minimum Description Length Principle for Compositional Model Learning, Integrated Uncertainty in Knowledge Modelling and Decision Making, p. 254-266, Eds: Huynh Van-Nam, Inuiguchi Masahiro, Denoeux Thierry Download DOI: 10.1007/978-3-319-25135-6_25 [2015] :
- Brief introduction to probabilistic compositional models, Uncertainty Analysis in Economics with Applications, p. 49-60, Eds: Huynh V.-N., Kreinovich V., Sriboonchitta S., Suriya K. Download DOI: 10.1007/978-3-642-35443-4_4 [2013] :
- On Open Problems Connected with Application of the Iterative Proportional Fitting Procedure to Belief Functions, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories adn Applications, p. 149-158 Download [2013] :
- A Note on Local Computations in Dempster-Shafer Theory of Evidence, Proceedings of the 7th International Symposium on Imprecise Probability: Theories and Applications, p. 219-227, Eds: Coolen Frank, de Cooman Gert, Fetz Thomas, Oberguggenberger Michael Download [2011] :
- A Note on Factorization of Belief Functions, Proceedings of 14th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty CJS 2011, p. 43-51 Download [2011] :
- Belief Networks and Local Computations, Nonlinear Mathematics for Uncertainty and its Applications, p. 179-188, Eds: Li Shoumei, Wang Xia, Okazaki Yoshiaki, Kawabe Jun, Murofushi Toshiaki, Guann Li Download [2011] :
- An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence, Combining Soft Computing and Statistical Methods in Data Analysis, p. 361-368, Eds: Borgelt Ch. , Gonzales-Rodriguez G. , Trutschnig W. , Lubiano M.A. , Gil M.A. , Grzegorzewski P. , Hryniewicz O. Download [2010] :
- Approximation of Data by Decomposable Belief Models, Information Processing and Management of Uncertainty in Knowledge-Based Systems (Part I), p. 40-49, Eds: Hüllermeier Eyke , Kruse Rudolf , Hoffmann Frank Download [2010] :
- On Graphical (Decomposable) Models and Belief Networks in Dempster-Shafer Theory of Evidence, Proceedings of the 13th Czech-Japan Seminar on Data Analysis and Decision Making in Service Science, p. 61-66, Eds: Itoh Takeshi , Suzuki Kenichi Download [2010] :
- Factorization and Decomposable Models in Dempster-Shafer Theory of Evidence, Proceedings of the Workshop on the Theory of Belief Functions, p. 1-6, Eds: Appriou Alain , Denœux Thierry , Duflos Emmanuel , Martin Arnaud , Rombaut Michèle Download [2010] :
- Almost Bayesian Assignments and Conditional independence: a contribution to Dempster-Shafer theory of evidence, Proceedings of the 6th International Symposium on Imprecise Probability: Theories and Applications, p. 249-258 Download [2009] :
- There are combinations and compositions in Dempster-Shafer theory of evidence, Proceedings of the 8th Workshop on Uncertainty Processing, p. 100-111, Eds: Kroupa Tomáš, Vejnarová Jiřina Download [2009] :
- Compositional Belief Function Models, Joint 4th International Conference on Soft Computing and Intelligent systems and 9th International Symposium on Advanced Intelligent Systems, p. 1311-1316 Download [2008] :
- Conditional Independence and Compositional Models for Belief Functions, The 11th Czech-Japan Seminář on Data Analysis and Decision Making under Uncertainty, p. 75-80 Download [2008] :
- Conditional Independence and Factorization of Multidimensional Models, WCCI 2008 Proceedings, p. 2359-2366 Download [2008] :
- Persegrams of Compositional Models Revisited: conditional independence, Proceedings of the 12th International Conference on Information Processing and Management of Uncertianlty in Konowledge-based Systems, p. 915-922, Eds: Magdalena L., Ojeda Aciego Manuel, Verdegay J. L. Download [2008] :
- Compositional models for belief functions, Proceedings of 5th International Symposium on Imprecise Probability: Theories and Applications ISIPTA'07, p. 243-252, Eds: De Cooman G., Vejnarová J., Zaffalon M. Download [2007] :
- Compositional Models and Maximum Entropy Principle, Proceedings of the 6th International Conference on Information and Management Sciences, p. 289-295, Eds: Lee T. S., Liu Y., Zhao X. [2007] :
- Conditional Irrelevance Relation for Belief Functions: Examples, Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, p. 54-68, Eds: Kroupa T., Vejnarová J. [2007] :
- On a Conditional Irrelevance Relation for Belief Functions Based on the Operator of Composition, Proceedings of the Workshop on Dynamics of Knowledge and Belief, p. 28-41, Eds: Beierle Ch., Kern-Isberner G. [2007] :
- 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. [2007] :
- A Short Note on Perez´ Approximation by Dependence Structure Simplification, ÚTIA AV ČR (Praha, 2006) [2006] :
- Theoretical foundations for marginalization in compositional models, Proceedings of Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty, p. 224-231 [2006] :
- Marginalization algorithm for compositional models, IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 2300-2307, Eds: Bouchon-Meunier B., Yager R. R. [2006] :
- Multidimensional Compositional Models. Part 1: Introduction, ÚTIA AV ČR (Praha, 2006) [2006] :
- Perfect sequences: a contribution to structuring conditional independence models, Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 65-75, Eds: Kroupa T., Vejnarová J., Oeconomica (Praha, 2005) [2005] :
- About an effective algorithm for marginalization in multidimensional compositional models, Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 1-13, Eds: Kroupa T., Vejnarová J., Oeconomica (Praha, 2005) [2005] :
- Decision 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) [2005] :
- On an interval-valued solution of the marginal problem, Proceedings of the 4th International Symposium on Imprecise Probabilities and Their Applications, p. 379-387, Eds: Cozman F. G., Nau R., Seidenfeld T., ISIPTA (Pittsburg, 2005) [2005] :
- Data-Based Construction of Multidimensional Probabilistic Models with MUDIM, ÚTIA AV ČR (Praha, 2005) [2005] :
- Data-based construction of multidimensional probabilistic models, Conditionals, Information, and Inference. Proceedings, p. 77-87 [2004] :
- Knowledge-based decision-making supported by compositional models, Multiple Participant Decision Making, p. 135-148 [2004] :
- On relation of compositional and decomposable models, Proceedings of the Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 1057-1064 [2004] :
- What is the difference between Bayesian networks and compositional models?, Proceedings of the 7th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 191-196, Eds: Noguchi H., Ishii H., Inuiguchi M. Download [2004] :
- Decomposition of Bayesian networks induced by compositional models, Proceedings of the Second European Workshop on Probabilistic Graphical Models, p. 129-136 [2004] :
- Application of Compositional Models to Cardiology, Proceedings of the 11th World Congress on Medical Informatics, p. 1863 [2004] :
- MUDIM - a system for MUltiDImensional Model development, Methods for Decision Support in Environment with Uncertainty - Applications in Economics, Business and Engineering. Proceedings of the Czech-Japan Seminar, p. 40-45, Eds: Ramík J., Novák V., University of Ostrava (Ostrava, 2003) [2003] :
- On approximating multidimensional probability distributions by compositional models, Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, p. 305-320, Eds: Bernard J.-M., Seidenfeld T., Zaffalon M., Carleton Scientific (Waterloo, 2003) [2003] :
- On computational procedures for probabilistic compositional models, Proceedings of the 5th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 3-10, Osaka University (Osaka, 2002) [2002] :
- Detection of independence relations from persegrams, Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems, p. 1261-1267, ESIA (Annecy, 2002) [2002] :
- Knowledge representation by compositional models, Proceedings of the International Conference on Information and Knowledge Engineering, p. 117-123, Eds: Arabnia H. R., Mun Y., Prasad B., CSREA Press (Las Vegas, 2002) [2002] :
- Open problems inspired by Albert Perez, Conditionals, Information, Inference, p. 117-128, Eds: Kern-Isberner G., Rodder W., Fern Universität (Hagen, 2002) [2002] :
- Perfect sequences for belief networks representation, Proceedings of the 13th IEEE International Conference on Tools in Artificial Intelligence, p. 87-96, IEEE Computer Society Press (Los Alamitos, 2001) [2001] :
- Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, VŠE (Praha, 2001) [2001] :
- Detection of independence relations from persegrams, Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 52-62, Eds: Jiroušek R., Vejnarová J., VŠE (Praha, 2001) [2001] :
- Marginalization in composed probabilistic models, Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, p. 36-43, Eds: Boutilier C., Goldszmidt M., Morgan Kaufmann (San Francisco, 2000) [2000] :
- Recent results regarding composition of distributions, Partial Knowledge and Uncertainty: Independence, Conditioning, Inference, p. 9-12, Eds: Scozzafava R., Vantaggi B., Baltzer Science Publ. (Rome, 2000) [2000] :
- Construction of multidimensional models by operators of composition: Curent state of art, Proceedings of the 5th Workshop on Uncertainty Processing, p. 113-126, VŠE (Praha, 2000) [2000] :
- Graphical Markovm models, Proceedings of the 9th Soft Science Workshop, p. 65-68, Society of Fuzzy Theory and Systems (Nagaoka, 1999) [1999] :
- Graph modelling of probability distributions, Congresso nazionale della Societa Italiana di Matematica applicata e industriale, p. 154-158, SIMAI (Roma, 1998) [1998] :
- Graph modelling without graphs, Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU'98. Proceedings, p. 809-816, La Sorbonne (Paris, 1998) [1998] :
- Composition of probability measures on finite spaces, Uncertainty in Artificial Intelligence. Proceedings, p. 274-281, Eds: Geiger D., Shenoy P. P., Morgan Kaufmann (San Francisco, 1997) [1997] :
- Artificial intelligence, the marginal problem and inconsistency, Distributions with Given Marginals and Moment Problems, p. 223-234, Eds: Beneš V., Štěpán J., Kluwer (Dordrecht, 1997) [1997] :
- I-projections in probabilistic network construction, Partial Knowledge and Uncertainty in Complex Systems, p. 17-20, Edizioni Kappa (Roma, 1996) [1996] :
- Learning Bayesian networks under the control of mutual information, Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU'96. Proceedings, p. 985-990, University of Granada (Granada, 1996) [1996] :
- From learning Bayesian networks to a decomposable model construction. Abstract, Workshop on Normative Systems. Abstracts, p. -, George Mason University (Fairfax, 1995) [1995] :
- A note on learning Bayesian networks, Statistics, Machine Learning and Knowledge Discovery in Databases, p. 148-153, Eds: Kodratoff Y., Nakhaeizadeh G., Taylor C., FORTH (Heraklion, 1995) [1995] :
- A sequential probabilistic model with nonmonotonic behaviour, Artificial Intelligence Techniques, p. 39-52, Eds: Žižka J., Brazdil P., VUT (Brno, 1995) [1995] :
- Inconsistent 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) [1995] :
- Multimodel approximation of probability distributions: a tool for knowledge derivation, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Proceedings, p. 449-454, Cité Internationale Universitaire (Paris, 1994) [1994] :
- Probabilistic model of nonmonotonic reasoning, Uncertainty Processing in Expert Systems. Proceedings, p. 87-97, VŠE (Praha, 1994) [1994] :
- Graph Modelling in Artificial Intelligence. Habilitation, FIS VŠE (Praha, 1993) [1993] :
- Probabilistic Methods in Artificial Intelligence. DrSc.Dissertation, ÚTIA AV ČR (Praha, 1993) [1993] :
- Approximations of Probability Distributions by Three Types of Graph Models, Uncertainty in Intelligent Systems, p. 39-48, Eds: Bouchon-Meunier B., Valverde L., Yager R. R., NorthHolland (Amsterdam, 1993) [1993] :
- Graph Modelling in Probability Distribution Processing, Probabilistic Methods in Expert Systems, p. 121-137, Societá Italiana di Statistica (Roma, 1993) [1993] :
- Information in Human and Formalized Knowledge, Second European Congress on Systems Science, p. 899-907, Afcet (Paris, 1993) [1993] :
- Simple Approximations of Probability Distributions by Graph Models, International Conference on Information Processing and Management of Uncertainty. IPMU '92, p. 497-502, Universitat des les Illes Balears (Palma, 1992) [1992] :
- Introduction to Probabilistic Methods of Knowledge Representation and Processing, Advanced Topics in Artificial Intelligence, p. 255-285, Eds: Mařík V., Štěpánková O., Trappl R., Springer (Berlin, 1992) [1992] :
- Reasoning and Derivation of Knowledge in Probabilistic Expert Systems, Transactions of the Eleventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes, p. 31-40, Academia (Prague, 1992) [1992] :
- [Recenze], Automatica 27 3 (1991), p. 585-586 [1991] :
- Decision Trees and their Power to Represent Probability Distributions, Workshop on Uncertainty Processing in Expert Systems, p. -, ÚTIA ČSAV (Prague, 1991) [1991] :
- An Expert System as a Controller and its Closed Loop Behaviour, Advanced Methods in Adaptive Control for Industrial Applications, p. 36-42, Eds: Warwick K., Kárný M., Halousková A., Springer (Berlin, 1991) [1991] :
- Reasoning and Derivation of Knowledge in Probabilistic Expert Systems, Prague Conference on Information Theory. Abstracts, p. -, ÚTIA ČSAV (Praha, 1990) [1990] :
- [Recenze], Kybernetika 25 4 (1989), p. 326-327 [1989] :
- Pravděpodobnostní metody technické diagnostiky založené na expertních znalostech, Výsledky výzkumných a vývojových prací pro jaderné elektrárny s lehkovodními reaktory typu VVER 1000, p. 35-41, ŠKODA (Plzeň, 1989) [1989] :
- Metody integrace znalostí v pravděpodobnostních expertních systémech, Aplikace umělé inteligence AI'89, p. 9-24, Ústav pro informační systémy v kultuře (Praha, 1989) [1989] :
- Vybrané metody rozhodování v nestandardních situacích. Přehledová studie pro potřeby spoluprací na řešení složitých rozhodovacích, ÚTIA ČSAV (Praha, 1989) [1989] :