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  1. Haws D., Cussens J., Studený Milan :  Polyhedral approaches to learning Bayesian networks , Algebraic and Geometric Methods in Discrete Mathematics, p. 155-188 , Eds: Harrington H. A., Omar M., Wright M. [2017] DOI: 10.1090/conm/685/13751
  2. Flaminio T., Godo L., Kroupa Tomáš :  Belief functions on MV-algebras of fuzzy sets: an overview , Non-Additive Measures: Theory and Applications, p. 173-200 , Eds: Torra Vicenc, Narukawa Yasuo, Sugeno Michio [2013] Download DOI: 10.1007/978-3-319-03155-2_7

  1. Matúš František :  Classes of Matroids Closed Under Minors and Principal Extensions , Combinatorica vol.38, 4 (2018), p. 935-954 [2018] Download Download DOI: 10.1007/s00493-017-3534-y
  2. Lín Václav :  Binary integer programming solution for troubleshooting with dependent actions , Kybernetika vol.53, 3 (2017), p. 493-512 [2017] Download DOI: 10.14736/kyb-2017-3-0493
  3. 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
  4. Matúš František, Csirmaz L. :  Entropy region and convolution , IEEE Transactions on Information Theory vol.62, 11 (2016), p. 6007-6018 [2016] Download DOI: 10.1109/TIT.2016.2601598
  5. Studený Milan, Kroupa Tomáš :  Core-based criterion for extreme supermodular functions , Discrete Applied Mathematics vol.206, 1 (2016), p. 122-151 [2016] Download DOI: 10.1016/j.dam.2016.01.019
  6. Vejnarová Jiřina :  On decision-making in possibility theory , Kybernetika vol.51, 3 (2015), p. 457-468 [2015] Download Download DOI: 10.14736/kyb-2015-3-0457
  7. Matúš František :  On limiting towards the boundaries of exponential families , Kybernetika vol.51, 5 (2015), p. 725-738 [2015] Download DOI: 10.14736/kyb-2015-5-0725
  8. Tanaka K., Studený Milan, Takemura A., Sei T. :  A linear-algebraic tool for conditional independence inference , Journal of Algebraic Statistics vol.6, 2 (2015), p. 150-167 [2015] Download DOI: 10.18409/jas.v6i2.46
  9. Vomlel Jiří :  Generalizations of the noisy-or model , Kybernetika vol.51, 3 (2015), p. 508-524 [2015] Download DOI: 10.14736/kyb-2015-3-0508
  10. Jiroušek Radim, Kratochvíl Václav :  Foundations of compositional models: structural properties , International Journal of General Systems vol.44, 1 (2015), p. 2-25 [2015] Download DOI: 10.1080/03081079.2014.934370
  11. Lín Václav :  Scheduling results applicable to decision-theoretic troubleshooting , International Journal of Approximate Reasoning vol.57, 1 (2015), p. 87-107 [2015] DOI: 10.1016/j.ijar.2014.08.004
  12. Vejnarová Jiřina :  A Comparison of Evidential Networks and Compositional Models , Kybernetika vol.50, 2 (2014), p. 246-267 [2014] Download DOI: 10.14736/kyb-2014-2-0246
  13. Vomlel Jiří, Tichavský Petr :  Probabilistic 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
  14. Studený Milan, Haws D. :  Learning Bayesian network structure: towards the essential graph by integer linear programming tools , International Journal of Approximate Reasoning vol.55, 4 (2014), p. 1043-1071 [2014] Download DOI: 10.1016/j.ijar.2013.09.016
  15. Lín Václav :  Decision-theoretic troubleshooting: Hardness of approximation , International Journal of Approximate Reasoning vol.55, 4 (2014), p. 977-988 [2014] DOI: 10.1016/j.ijar.2013.07.003
  16. Kratochvíl Václav :  Probabilistic Compositional Models: solution of an equivalence problem , International Journal of Approximate Reasoning vol.54, 5 (2013), p. 590-601 [2013] Download DOI: 10.1016/j.ijar.2013.01.002

  1. Kratochvíl Václav, Vomlel Jiří :  Influence 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
  2. Plajner Martin, Vomlel Jiří :  Bayesian 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
  3. Vomlel Jiří, Kratochvíl Václav :  Influence 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
  4. Kratochvíl Václav :  Proceedings of the 10th Workshop on Uncertainty Processing, Oeconomica, (Praha 2015) , WUPES 2015. Workshop on Uncertainty Processing /10./, (Monínec, CZ, 16.09.2015-19.09.2015) [2015] Download
  5. Studený Milan :  How matroids occur in the context of learning Bayesian network structure , Uncertainty in Artificial Intelligence, Proceedings of the Thirty-First Conference (2015), p. 832-841, 31st Conference on Uncertainty in Artificial Intelligence, (Amsterdam, NL, 12.07.2015-16.07.2015) [2015] Download
  6. Lín Václav :  Algorithms for single-fault troubleshooting with dependent actions , Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 119-130 , Eds: Kratochvíl V., WUPES 2015. Workshop on Uncertainty Processing /10./, (Monínec, CZ, 16.09.2015-19.09.2015) [2015] Download
  7. Vejnarová Jiřina :  On Marginal Problem in Evidence Theory , Belief Functions: Theory and Applications, p. 331-338 , Eds: Cuzzolin F., BELIEF 2014. International Conference /3./, (Oxford, GB, 26.09.2014-28.09.2014) [2014] Download DOI: 10.1007/978-3-319-11191-9_36
  8. Vomlel Jiří, Tichavský Petr :  An 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
  9. Kroupa Tomáš, Valla T. :  Constructing many-valued logical functions with small influence of their variables , Abstract Booklet - LATD 2014, p. 202-206 , Eds: Baaz M., Ciabattoni A., Hetzl S., LATD 2014. Logic, Algebra and Truth Degrees, (Vienna, AT, 16.07.2014-19.07.2014) [2014] Download
  10. Kroupa Tomáš :  MV-Algebraic Moebius Transform on the Vietoris Space , TACL 2013. Sixth International Conference on Topology, Algebra and Categories in Logic, p. 129-132 , Eds: Galatos N., Kurz A., Tsinakis C., TACL 2013, (Nashville, US, 28.07.2013-01.08.2013) [2014] Download Download
  11. Linden N., Matúš František, Ruskai M. B., Winter A. :  The Quantum Entropy Cone of Stabiliser States , Proceedings of the 8th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2013), p. 270-284 , Eds: Severini S., Brandao F., Conference on Theory of Quantum Computation, Communication and Cryptography /8./, (Guelph, CA, 2013) [2013] Download DOI: 10.4230/LIPIcs.TQC.2013.270
  12. Vomlel Jiří, Tichavský Petr :  Probabilistic 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
  13. Vomlel Jiří :  A 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
  14. Kratochvíl Václav, Jiroušek Radim :  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, Eighth International Symposium on Imprecise Probability: Theories adn Applications, (Compiegne, FR, 02.07.2013-05.07.2013) [2013] Download
2019-01-07 08:39
Institute of Information Theory and Automation