Search results
- 1.0581903 - ÚTIA 2024 RIV US eng J - Journal Article
Vomlel, Jiří - Kratochvíl, Václav - Kratochvíl, F.
Structural learning of mixed noisy-OR Bayesian networks.
International Journal of Approximate Reasoning. Roč. 161, č. 1 (2023), č. článku 108990. ISSN 0888-613X. E-ISSN 1873-4731
R&D Projects: GA ČR GA20-18407S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Learning Bayesian networks * Linguistics * Loanwords
OECD category: Communication engineering and systems
Impact factor: 3.9, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2024/MTR/vomlel-0581903.pdf https://www.sciencedirect.com/science/article/pii/S0888613X23001214?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0350580 - 2.0579691 - ÚI 2024 RIV DE eng C - Conference Paper (international conference)
Pérez, Ivan - Vomlel, J.
On Identifiability of BN2A Networks.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023.. Cham: Springer, 2023 - (Bouraoui, Z.; Vesic, S.), s. 136-148. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 14294. ISBN 978-3-031-45607-7.
[ECSQARU 2023: European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty /23./. Arras (FR), 19.09.2023-22.09.2023]
R&D Projects: GA ČR(CZ) GA21-03658S; GA ČR(CZ) GA22-11101S
Institutional support: RVO:67985807
Keywords : Bayesian networks * BN2A networks * Cognitive Diagnostic Modeling * Psychometrics * Model Identifiability
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.1007/978-3-031-45608-4_11
Permanent Link: https://hdl.handle.net/11104/0348500 - 3.0578481 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Pérez Cabrera, Iván - Vomlel, Jiří
On Identifiability of BN2A Networks.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023.. Cham: Springer, 2023 - (Bouraoui, Z.; Vesic, S.), s. 136-148. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 14294. ISBN 978-3-031-45607-7.
[European Conference, ECSQARU 2023 /17./. Arras (FR), 19.09.2023-22.09.2023]
R&D Projects: GA ČR(CZ) GA21-03658S; GA ČR(CZ) GA22-11101S
Institutional support: RVO:67985556
Keywords : Bayesian networks * BN2A networks * Cognitive Diagnostic Modeling * Psychometrics * Model Identifiability
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2023/MTR/vomlel-0578481.pdf
Permanent Link: https://hdl.handle.net/11104/0347648 - 4.0574406 - ÚTIA 2024 RIV PT eng C - Conference Paper (international conference)
Rod, M. - Vomlel, Jiří
Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture.
Proceedings of the 25th International Conference on Enterprise Information Systems. Setúbal: SCITEPRESS, 2023 - (Filipe, J.; Śmiałek, M.; Brodsky, A.; Hammoudi, S.), s. 600-607. ISBN 978-989-758-648-4. ISSN 2184-4992.
[International Conference on Enterprise Information Systems 2023 /25./. Praha (CZ), 24.04.2023-26.04.2023]
Grant - others:Internal Grant Agency of the Prague University of Economics and Business(CZ) IGS F6/61/2020
Institutional support: RVO:67985556
Keywords : Enterprise architecture * Bayesian networks * Maturity model * E-Government * Digital Government
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2023/MTR/vomlel-0574406.pdf
Permanent Link: https://hdl.handle.net/11104/0344806 - 5.0572588 - ÚTIA 2024 RIV SI eng J - Journal Article
Salman, I. - Vomlel, Jiří
Learning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model.
International Journal of Computing and Informatics. Roč. 47, č. 1 (2023), s. 83-96. ISSN 0350-5596
Institutional support: RVO:67985556
Keywords : Bayesian networks * Gaussian mixtures * EM algorithm * incomplete data
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2023/MTR/vomlel-0572588.pdf https://www.informatica.si/index.php/informatica/article/view/4497
Permanent Link: https://hdl.handle.net/11104/0343822 - 6.0561324 - ÚTIA 2023 RIV ES eng C - Conference Paper (international conference)
Kratochvíl, F. - Kratochvíl, Václav - Vomlel, Jiří
Learning 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. Almerı́a: PMLR, 2022 - (Salmerón, A.; Rumí, R.), s. 277-288. E-ISSN 2640-3498.
[International Conference on Probabilistic Graphical Models. Almería (ES), 05.10.2022-07.10.2022]
R&D Projects: GA ČR GA20-18407S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Learning Bayesian networks * Noisy-or model * Applications of Bayesian networks * Linguistics * Loanwords
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0561324.pdf
Permanent Link: https://hdl.handle.net/11104/0334054 - 7.0558137 - ÚTIA 2023 RIV CZ eng K - Conference Paper (Czech conference)
Jiroušek, Radim - Kratochvíl, Václav - Shenoy, P. P.
Two Composition Operators for Belief Functions Revisited.
Proceedings of the 12th Workshop on Uncertainty Processing. Prague: MatfyzPress, 2022 - (Studený, M.; Ay, N.; Coletti, G.; Kleiter, G.; Shenoy, P.), s. 123-134. ISBN 978-80-7378-460-7.
[WUPES 2022: 12th Workshop on Uncertainty Processing. Kutná Hora (CZ), 01.06.2022-04.06.2022]
Grant - others:GA ČR(CZ) GA19-06569S
Program: GA
Institutional support: RVO:67985556
Keywords : probability theory * Bayesian networks * belief functions
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558137.pdf
Permanent Link: http://hdl.handle.net/11104/0332322 - 8.0558135 - ÚTIA 2023 RIV CZ eng K - Conference Paper (Czech conference)
Jiroušek, Radim - Kratochvíl, Václav - Shenoy, P. P.
Computing the Decomposable Entropy of Graphical Belief Function Models.
Proceedings of the 12th Workshop on Uncertainty Processing. Prague: MatfyzPress, 2022 - (Studený, M.; Ay, N.; Coletti, G.; Kleiter, G.; Shenoy, P.), s. 111-122. ISBN 978-80-7378-460-7.
[WUPES 2022: 12th Workshop on Uncertainty Processing. Kutná Hora (CZ), 01.06.2022-04.06.2022]
R&D Projects: GA ČR(CZ) GA19-04579S
Grant - others:GA ČR(CZ) GA19-06569S
Program: GA
Institutional support: RVO:67985556
Keywords : Decomposable Entropy * DempsterShafer belief functions * Bayesian networks
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558135.pdf
Permanent Link: http://hdl.handle.net/11104/0332321 - 9.0545875 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Plajner, Martin - Vomlel, Jiří
Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.. Cham: Springer, 2021 - (Vejnarová, J.; Wilson, N.), s. 255-267. Lecture Notes in Computer Science, Vol 12897. ISBN 978-3-030-86771-3. ISSN 0302-9743. E-ISSN 1611-3349.
[ECSQARU 2021 : Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Praha (CZ), 21.09.2021-24.09.2021]
R&D Projects: GA ČR(CZ) GA19-04579S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Educational testing * Score prediction * Efficient probabilistic inference * Multidimensional IRT * CP tensor decomposition
OECD category: Robotics and automatic control
http://library.utia.cas.cz/separaty/2021/MTR/plajner-0545875.pdf
Permanent Link: http://hdl.handle.net/11104/0323622 - 10.0537125 - ÚTIA 2021 CZ eng V - Research Report
Švorc, Jan - Vomlel, Jiří
Subjective well-being and the individual material situation in Central Europe: A Bayesian network approach.
Praha: ÚTIA AV ČR, 2020. 33 s. Research Report, 2387.
R&D Projects: GA ČR GA17-08182S
Grant - others:GA ČR(CZ) GA19-06569S
Program: GA
Institutional support: RVO:67985556
Keywords : Subjective Well-Being * Income * Economic Strain * Material Deprivation * Bayesian Networks * Central Europe
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2020/MTR/svorc-0537125.pdf
Permanent Link: http://hdl.handle.net/11104/0314873File Download Size Commentary Version Access 0537125.pdf 0 1.4 MB Other open-access