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GA16-12010S

  1. Studený Milan :  Conditional Independence and Basic Markov Properties , Handbook of Graphical Models, p. 3-38 , Eds: Maathuis Marloes, Drton Mathias, Lauritzen Steffen, Wainwright Martin [2018] Download

  1. Plajner Martin, Vomlel Jiří :  Learning bipartite Bayesian networks under monotonicity restrictions , International Journal of General Systems vol.49, 1 (2020), p. 88-111 [2020] Download Download DOI: 10.1080/03081079.2019.1692004
  2. Kroupa Tomáš, Studený Milan :  Facets of the cone of totally balanced games , Mathematical Methods of Operations Research vol.90, 2 (2019), p. 271-300 [2019] Download Download DOI: 10.1007/s00186-019-00672-y
  3. Grabisch M., Kroupa Tomáš :  The cone of supermodular games on finite distributive lattices , Discrete Applied Mathematics vol.260, 1 (2019), p. 144-154 [2019] Download Download DOI: 10.1016/j.dam.2019.01.024
  4. Studený Milan, Kratochvíl Václav :  Linear criterion for testing the extremity of an exact game based on its finest min-representation , International Journal of Approximate Reasoning vol.101, 1 (2018), p. 49-68, 10th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'17), (Lugano, CH, 20170710) [2018] Download DOI: 10.1016/j.ijar.2018.06.007
  5. Matúš František :  On patterns of conditional independences and covariance signs among binary variables , Acta Mathematica Hungarica vol.154, 2 (2018), p. 511-524 [2018] Download DOI: 10.1007/s10474-018-0799-6
  6. Vejnarová Jiřina :  Compositional models for credal sets , International Journal of Approximate Reasoning vol.90, 1 (2017), p. 359-373 [2017] Download DOI: 10.1016/j.ijar.2017.08.007
  7. Djordjilović V., Chiogna M., Vomlel Jiří :  An empirical comparison of popular structure learning algorithms with a view to gene network inference , International Journal of Approximate Reasoning vol.88, 1 (2017), p. 602-613 [2017] Download DOI: 10.1016/j.ijar.2016.12.012
  8. Kratochvíl Václav, Vomlel Jiří :  Influence 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
  9. Studený Milan, Cussens J. :  Towards using the chordal graph polytope in learning decomposable models , International Journal of Approximate Reasoning vol.88, 1 (2017), p. 259-281, 8th International Conference of Probabilistic Graphical Models, (Lugano, CH, 20160906) [2017] Download DOI: 10.1016/j.ijar.2017.06.001
  10. Cussens J., Haws D., Studený Milan :  Polyhedral aspects of score equivalence in Bayesian network structure learning , Mathematical Programming vol.164, p. 285-324 [2017] Download DOI: 10.1007/s10107-016-1087-2

  1. Daniel M., Kratochvíl Václav :  Hidden Conflict of Belief Functions , Proceedings of the 21st Czech-Japan Seminar od Data Analysis and Decision Making, p. 31-40 , Eds: Sung Shao-Chin, Vlach Milan, The 21st Czech-Japan Seminar on Data Analysis and Decision Making, (Kamakura, JP, 20181123) [2018] Download
  2. Kratochvíl Václav, Jiroušek Radim, Lee T. R. :  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, The 21st Czech-Japan Seminar on Data Analysis and Decision Making, (Kamakura, JP, 20181123) [2018] Download
  3. Studený Milan, Kroupa Tomáš, Kratochvíl Václav :  On attempts to characterize facet-defining inequalities of the cone of exact games , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 177-187 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  4. Jiroušek R., Kratochvíl Václav :  Comparison of Shenoy’s Expectation Operator with Probabilistic Transforms and Perez’ Barycenter , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 87-95 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  5. Daniel M., Kratochvíl Václav :  About Two Consonant Conflicts of Belief Functions , Proceedings of the 11 th Workshop on Uncertainty Processing, p. 61-74 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  6. Plajner Martin, Vomlel Jiří :  Gradient 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
  7. Vomlel Jiří, Kratochvíl Václav :  Dynamic 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
  8. Vejnarová Jiřina :  Composition Operator for Credal Sets Reconsidered , Soft Methods for Data Science, p. 487-494 , Eds: Ferraro M. B., Giordani P., Vantaggi B., Gagolewski M., Gil M. Á., Grzegorzewski P., Hryniewicz Ol., International Conference on Soft Methods in Probability and Statistics-SMPS 2016 /8./, (Roma, IT, 20160912) [2017] Download DOI: 10.1007/978-3-319-42972-4_60
  9. Plajner Martin, Magauina A., Vomlel Jiří :  Question 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
  10. Salman I., Vomlel Jiří :  A 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
  11. Daniel M., Kratochvíl Václav :  Hidden Auto-Conflict in the Theory of Belief Functions , Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 34-45 , Eds: Novák V., Inuiguchi M., Štěpnička M., Czech-Japan Seminar 2017, (Pardubice, CZ, 20170917) [2017] Download
  12. Studený Milan, Kratochvíl Václav :  Linear core-based criterion for testing extreme exact games , Proceedings of the 10th International Symposium on Imprecise Probability: Theories and Applications, p. 313-324 , Eds: Antonucci A., Corani G., Couso I., Destercke S., ISISPTA 2017 - International Symposium on Imprecise Probability: Theories and Applications /10./, (Lugano, CH, 20170710) [2017] Download
  13. Vomlel Jiří, Kratochvíl Václav :  Solving 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
  14. Plajner Martin, Vomlel Jiří :  Monotonicity 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
  15. Matúš František :  Urns and entropies revisited , Proceedings of the ISIT 2017 - 2017 IEEE International Symposium on Information Theory, p. 1451-1454, IEEE International Symposium on Information Theory 2017 (ISIT 2017), (Aachen, DE, 20170625) [2017] Download DOI: 10.1109/ISIT.2017.8006769
  16. Plajner Martin, Vomlel Jiří :  Student 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
  17. Studený Milan :  Basic facts concerning extreme supermodular functions, ÚTIA AV ČR v.v.i, (Praha 2016) Research Report 2359 [2016] Download
  18. Kratochvíl Václav, Vejnarová Jiřina :  IPFP and Further Experiments , Belief Functions: Theory and Applications, p. 164-173 , Eds: Vejnarová Jiřina, Kratochvíl Václav, International Conference on Belief Functions 2016 /4./, (Prague, CZ, 21.09.2016-23.09.2016) [2016] Download DOI: 10.1007/978-3-319-45559-4_17
  19. Studený Milan, Cussens J. :  The chordal graph polytope for learning decomposable models , Proceedings of the Eighth International Conference on Probabilistic Graphical Models, p. 499-510 , Eds: Antonucci A., Corani G., Polpo de Campos C., the Eighth International Conference on Probabilistic Graphical Models, (Lugano, CH, 06.09.2016-09.09.2016) [2016] Download DOI: 10.1016/j.ijar.2017.06.001
  20. Matúš František, Csiszár I. :  Convergence of generalized entropy minimizers in sequences of convex problems , Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT 2016), p. 2609-2613, IEEE International Symposium on Information Theory 2016, (Barcelona, ES, 20160710) [2016] Download DOI: 10.1109/ISIT.2016.7541771
07.01.2019 - 08:39
Institute of Information Theory and Automation