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2020 – today
- 2023
[j22]Jirí Vomlel
, Václav Kratochvíl, Frantisek Kratochvíl:
Structural learning of mixed noisy-OR Bayesian networks. Int. J. Approx. Reason. 161: 108990 (2023)- [j21]Issam Salman, Jirí Vomlel:
Learning the Structure of Bayesian Networks from Incomplete Data using a Mixture Model. Informatica (Slovenia) 47(1) (2023) - [c19]Iván Pérez, Jirí Vomlel:
On Identifiability of BN2A Networks. ECSQARU 2023: 136-148 - [c18]Martin Rod, Jirí Vomlel:
Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture. ICEIS (2) 2023: 600-607 - 2022
- [c17]Frantisek Kratochvíl, Václav Kratochvíl, Jirí Vomlel:
Learning Noisy-Or Networks with an Application in Linguistics. PGM 2022: 277-288 - [c16]Iván Pérez, Jirí Vomlel:
On the rank of 2×2×2 probability tables. PGM 2022: 361-372 - 2021
- [c15]Martin Plajner, Jirí Vomlel:
Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam. ECSQARU 2021: 255-267 - 2020
- [j20]Martin Plajner, Jirí Vomlel:
Learning bipartite Bayesian networks under monotonicity restrictions. Int. J. Gen. Syst. 49(1): 88-111 (2020) - [i8]Martin Plajner, Jirí Vomlel:
Monotonicity in practice of adaptive testing. CoRR abs/2009.06981 (2020)
2010 – 2019
- 2019
- [c14]Milan Studený, Václav Kratochvíl, Jirí Vomlel:
On Irreducible Min-Balanced Set Systems. ECSQARU 2019: 444-454 - 2018
- [c13]Petr Tichavský, Jirí Vomlel:
Representations of Bayesian networks by low-rank models. PGM 2018: 463-474 - 2017
- [j19]Václav Kratochvíl, Jirí Vomlel:
Influence diagrams for speed profile optimization. Int. J. Approx. Reason. 88: 567-586 (2017) - [j18]Vera Djordjilovic, Monica Chiogna, Jirí Vomlel:
An empirical comparison of popular structure learning algorithms with a view to gene network inference. Int. J. Approx. Reason. 88: 602-613 (2017) - [c12]Martin Plajner, Jirí Vomlel:
Monotonicity in Bayesian Networks for Computerized Adaptive Testing. ECSQARU 2017: 125-134 - [c11]Jirí Vomlel, Václav Kratochvíl:
Solving Trajectory Optimization Problems by Influence Diagrams. ECSQARU 2017: 146-155 - [i7]Jirí Vomlel:
Solving the Brachistochrone Problem by an Influence Diagram. CoRR abs/1702.02032 (2017) - [i6]Jirí Vomlel, Václav Kratochvíl:
Solving the Goddard problem by an influence diagram. CoRR abs/1703.06321 (2017) - 2016
- [c10]Martin Plajner, Jirí Vomlel:
Student Skill Models in Adaptive Testing. Probabilistic Graphical Models 2016: 403-414 - [i5]Martin Plajner, Jirí Vomlel:
Probabilistic Models for Computerized Adaptive Testing: Experiments. CoRR abs/1601.07929 (2016) - 2015
- [j17]Jirí Vomlel:
Generalizations of the noisy-or model. Kybernetika 51(3): 508-524 (2015) - [c9]Martin Plajner, Jirí Vomlel:
Bayesian Network Models for Adaptive Testing. BMA@UAI 2015: 24-33 - [c8]Václav Kratochvíl, Jirí Vomlel:
Influence Diagrams for the Optimization of a Vehicle Speed Profile. BMA@UAI 2015: 44-53 - [i4]Martin Plajner, Jirí Vomlel:
Bayesian Network Models for Adaptive Testing. CoRR abs/1511.08488 (2015) - [i3]Václav Kratochvíl, Jirí Vomlel:
Influence diagrams for the optimization of a vehicle speed profile. CoRR abs/1511.09300 (2015) - 2014
- [j16]Jirí Vomlel, Petr Tichavský:
Probabilistic inference with noisy-threshold models based on a CP tensor decomposition. Int. J. Approx. Reason. 55(4): 1072-1092 (2014) - [c7]Jirí Vomlel, Petr Tichavský:
An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper. Probabilistic Graphical Models 2014: 535-550 - [i2]Jirí Vomlel, Petr Tichavský:
On tensor rank of conditional probability tables in Bayesian networks. CoRR abs/1409.6287 (2014) - 2013
- [c6]Jirí Vomlel, Petr Tichavský:
Probabilistic Inference in BN2T Models by Weighted Model Counting. SCAI 2013: 275-284 - [i1]Jirí Vomlel:
Exploiting Functional Dependence in Bayesian Network Inference. CoRR abs/1301.0609 (2013) - 2012
- [j15]Thorsten J. Ottosen, Jirí Vomlel:
All roads lead to Rome - New search methods for the optimal triangulation problem. Int. J. Approx. Reason. 53(9): 1350-1366 (2012) - [c5]Hynek Kruzík, Jirí Vomlel, Václav Kratochvíl, Petr Tuma, Petr Somol:
Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction. HEALTHINF 2012: 453-458 - 2011
- [j14]Milan Studený, Jirí Vomlel:
On open questions in the geometric approach to structural learning Bayesian nets. Int. J. Approx. Reason. 52(5): 627-640 (2011) - [j13]Jirí Vomlel:
Rank of tensors of l-out-of-k functions: an application in probabilistic inference. Kybernetika 47(3): 317-336 (2011) - 2010
- [j12]Milan Studený, Jirí Vomlel, Raymond Hemmecke:
A geometric view on learning Bayesian network structures. Int. J. Approx. Reason. 51(5): 573-586 (2010)
2000 – 2009
- 2009
- [j11]Milan Studený, Jirí Vomlel:
A reconstruction algorithm for the essential graph. Int. J. Approx. Reason. 50(2): 385-413 (2009) - [c4]Petr Savický, Jirí Vomlel:
Triangulation Heuristics for BN2O Networks. ECSQARU 2009: 566-577 - 2008
- [j10]Milan Studený, Jirí Vomlel:
Editorial Note. Int. J. Approx. Reason. 49(2): 344 (2008) - 2007
- [j9]Petr Savický, Jirí Vomlel:
Exploiting tensor rank-one decomposition in probabilistic inference. Kybernetika 43(5): 747-764 (2007) - 2006
- [j8]Jirí Vomlel:
Noisy-or classifier. Int. J. Intell. Syst. 21(3): 381-398 (2006) - [e1]Milan Studený, Jirí Vomlel:
Third European Workshop on Probabilistic Graphical Models, 12-15 September 2006, Prague, Czech Republic. Electronic Proceedings. 2006 [contents] - 2004
- [j7]Young-Gyun Kim, Marco Valtorta, Jirí Vomlel:
A Prototypical System for Soft Evidential Update. Appl. Intell. 21(1): 81-97 (2004) - [j6]Jirí Vomlel:
Bayesian Networks In Educational Testing. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(Supplement-1): 83-100 (2004) - [j5]Jirí Vomlel:
Integrating Inconsistent Data in a Probabilistic Model. J. Appl. Non Class. Logics 14(3): 367-386 (2004) - [j4]Jirí Vomlel:
Building adaptive tests using Bayesian networks. Kybernetika 40(3): 333-348 (2004) - 2003
- [j3]Marta Vomlelová, Jirí Vomlel:
Troubleshooting: NP-hardness and solution methods. Soft Comput. 7(5): 357-368 (2003) - 2002
- [j2]Marco Valtorta, Young-Gyun Kim, Jirí Vomlel:
Soft evidential update for probabilistic multiagent systems. Int. J. Approx. Reason. 29(1): 71-106 (2002) - [c3]Jirí Vomlel:
Bayesian Networks in Educational Testing. Probabilistic Graphical Models 2002 - [c2]Jirí Vomlel:
Exploiting Functional Dependence in Bayesian Network Inference. UAI 2002: 528-535 - 2001
- [j1]Finn Verner Jensen, Uffe Kjærulff, Brian Kristiansen, Helge Langseth, Claus Skaanning, Jirí Vomlel, Marta Vomlelová:
The SACSO methodology for troubleshooting complex systems. Artif. Intell. Eng. Des. Anal. Manuf. 15(4): 321-333 (2001) - [c1]Jirí Vomlel, Claus Skaanning:
Troubleshooting with Simultaneous Models. ECSQARU 2001: 96-107
Coauthor Index
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