Search results

  1. 1.
    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
     
     
  2. 2.
    0431896 - ÚTIA 2015 RIV NL eng C - Conference Paper (international conference)
    Vomlel, Jiří - Tichavský, Petr
    An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper.
    Probabilistic Graphical Models. Cham Heidelberg NewYork Dordrecht London: Springer International Publishing, 2014 - (van der Gaag, L.; Feelders, A.), s. 535-550. Lecture Notes in Computer Science, 8745. ISBN 978-3-319-11432-3.
    [7th European Workshop, PGM 2014,. Utrecht (NL), 17.09.2014-19.09.2014]
    R&D Projects: GA ČR GA13-20012S; GA ČR(CZ) GA14-13713S
    Institutional support: RVO:67985556
    Keywords : Bayesian Networks * Probabilistic Inference * CP Tensor Decomposition * Symmetric Tensor Rank
    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/2014/MTR/vomlel-0431896.pdf
    Permanent Link: http://hdl.handle.net/11104/0237777
     
     
  3. 3.
    0427059 - ÚTIA 2015 RIV US eng J - Journal Article
    Vomlel, Jiří - Tichavský, Petr
    Probabilistic inference with noisy-threshold models based on a CP tensor decomposition.
    International Journal of Approximate Reasoning. Roč. 55, č. 4 (2014), s. 1072-1092. ISSN 0888-613X. E-ISSN 1873-4731
    R&D Projects: GA ČR GA13-20012S; GA ČR GA102/09/1278
    Institutional support: RVO:67985556
    Keywords : Bayesian networks * Probabilistic inference * Candecomp-Parafac tensor decomposition * Symmetric tensor rank
    Subject RIV: JD - Computer Applications, Robotics
    Impact factor: 2.451, year: 2014
    http://library.utia.cas.cz/separaty/2014/MTR/vomlel-0427059.pdf
    Permanent Link: http://hdl.handle.net/11104/0233078
     
     
  4. 4.
    0399130 - ÚTIA 2014 RIV NL eng C - Conference Paper (international conference)
    Vomlel, Jiří - Tichavský, Petr
    Probabilistic Inference in BN2T Models by Weighted Model Counting.
    Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence. Amsterdam: IOS Press, 2013 - (Jaeger, M.; Nielsen, T.; Viappiani, P.), s. 275-284. Frontiers in Artificial Intelligence and Applications. ISBN 978-1-61499-329-2.
    [The Scandinavian Conference on Artificial Intelligence (SCAI 2013) /12./. Aalborg (DK), 20.11.2013-22.11.2013]
    R&D Projects: GA ČR GA13-20012S; GA ČR GA102/09/1278
    Institutional support: RVO:67985556
    Keywords : Bayesian networks * Models of Independence of causal influence * Noisy threshold models * Probabilistic inference * Weighted model counting * Arithmetic circuits
    Subject RIV: JD - Computer Applications, Robotics
    http://library.utia.cas.cz/separaty/2013/MTR/vomlel-0399130.pdf
    Permanent Link: http://hdl.handle.net/11104/0228479
     
     
  5. 5.
    0384920 - ÚTIA 2013 RIV US eng J - Journal Article
    Ottosen, T. J. - Vomlel, Jiří
    All roads lead to Rome - New search methods for the optimal triangulation problem.
    International Journal of Approximate Reasoning. Roč. 53, č. 9 (2012), s. 1350-1366. ISSN 0888-613X. E-ISSN 1873-4731
    R&D Projects: GA MŠMT 1M0572; GA ČR GEICC/08/E010; GA ČR GA201/09/1891
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional support: RVO:67985556
    Keywords : Bayesian networks * Optimal triangulation * Probabilistic inference * Cliques in a graph
    Subject RIV: BD - Theory of Information
    Impact factor: 1.729, year: 2012
    http://library.utia.cas.cz/separaty/2012/MTR/vomlel-all roads lead to rome - new search methods for the optimal triangulation problem.pdf
    Permanent Link: http://hdl.handle.net/11104/0214381
     
     
  6. 6.
    0380991 - ÚTIA 2013 RIV ES eng C - Conference Paper (international conference)
    Vomlel, Jiří - Tichavský, Petr
    Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition.
    Proceedings of The Sixth European Workshop on Probabilistic Graphical Models. Granada: DECSAI, University of Granada, 2012, s. 355-362. ISBN 978-84-15536-57-4.
    [The Sixth European Workshop on Probabilistic Graphical Models. Granada (ES), 19.09.2012-21.09.2012]
    R&D Projects: GA ČR GA102/09/1278; GA ČR GA201/08/0539
    Institutional support: RVO:67985556
    Keywords : probabilistic graphical models * probabilistic inference * CP tensor decomposition
    Subject RIV: JD - Computer Applications, Robotics
    http://library.utia.cas.cz/separaty/2012/MTR/vomlel-computationally efficient probabilistic inference with noisy threshold models based on a cp tensor decomposition.pdf
    Permanent Link: http://hdl.handle.net/11104/0211567
     
     
  7. 7.
    0361630 - ÚTIA 2012 RIV CZ eng J - Journal Article
    Vomlel, Jiří
    Rank of tensors of l-out-of-k functions: an application in probabilistic inference.
    Kybernetika. Roč. 47, č. 3 (2011), s. 317-336. ISSN 0023-5954
    R&D Projects: GA MŠMT 1M0572; GA ČR GA201/09/1891; GA ČR GEICC/08/E010
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : Bayesian network * probabilistic inference * tensor rank
    Subject RIV: BB - Applied Statistics, Operational Research
    Impact factor: 0.454, year: 2011
    http://library.utia.cas.cz/separaty/2011/MTR/vomlel-0361630.pdf
    Permanent Link: http://hdl.handle.net/11104/0198901
    FileDownloadSizeCommentaryVersionAccess
    0361630.pdf1461.1 KBPublisher’s postprintopen-access
     
     
  8. 8.
    0331175 - ÚTIA 2010 RIV CZ eng C - Conference Paper (international conference)
    Vomlelová, M. - Vomlel, Jiří
    Applying Bayesian networks in the game of Minesweeper.
    [Aplikace bayesovských sítích ve hře Minesweepe.]
    Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty. Ostrava: Universitatis Ostraviensis, 2009 - (Novák, V.; Pavliska, V.; Štěpnička, M.), s. 153-162
    [Czech-Japan Seminar on Data Analysis and Decision-Making under Uncertainty /12./. Litomyšl (CZ), 24.09.2009-27.09.2009]
    R&D Projects: GA MŠMT 1M0572; GA ČR GA201/09/1891
    Grant - others:GA MŠk(CZ) 2C06019; GA ČR(XE) ICC/08/E010 Eurocores LogICCC
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : Bayesian network * probabilistic inference * tensor rank-one decomposition
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2009/MTR/vomlel-applying bayesian networks in the game of minesweeper.pdf
    Permanent Link: http://hdl.handle.net/11104/0176770
     
     
  9. 9.
    0047082 - ÚI 2008 RIV CZ eng J - Journal Article
    Savický, Petr - Vomlel, Jiří
    Exploiting Tensor Rank-One Decomposition in Probabilistic Inference.
    [Využití rozkladu tenzoru na tenzory ranku jedna pro pravděpodobnostní inferenci.]
    Kybernetika. Roč. 43, č. 5 (2007), s. 747-764. ISSN 0023-5954
    R&D Projects: GA MŠMT 1M0545; GA MŠMT 1M0572; GA ČR GA201/04/0393
    Institutional research plan: CEZ:AV0Z10300504; CEZ:AV0Z10750506
    Keywords : graphical probabilistic models * probabilistic inference * tensor rank
    Subject RIV: BD - Theory of Information
    Impact factor: 0.552, year: 2007
    http://dml.cz/handle/10338.dmlcz/135810
    Permanent Link: http://hdl.handle.net/11104/0138094
    FileDownloadSizeCommentaryVersionAccess
    Kybernetika_43-2007-5_11.pdf0985.6 KBPublisher’s postprintopen-access
     
     
  10. 10.
    0044979 - ÚTIA 2008 CZ eng I - Internal Report
    Savický, Petr - Vomlel, Jiří
    Exploiting Tensor Rank-one Decomposition in Probabilistic Inference.
    Praha: ÚTIA AV ČR, 2006. 18 s. Interní publikace - DAR - ÚTIA, 2006/19.
    R&D Projects: GA MŠMT 1M0572
    Institutional research plan: CEZ:AV0Z10750506; CEZ:AV0Z10300504
    Keywords : Graphical Probabilistic Models * Probabilistic Inference * Tensor rank
    Subject RIV: BD - Theory of Information
    Permanent Link: http://hdl.handle.net/11104/0137636
     
     

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