Milan Studeny

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Remco BouckaertVerifisert e-postadresse på cs.auckland.ac.nz
Jirka VomlelInstitute of Information Theory and Automation, Academy of Sciences of the Czech RepublicVerifisert e-postadresse på utia.cas.cz
Raymond HemmeckeProfessor for Combinatorial Optimization, Technische Universität MünchenVerifisert e-postadresse på tum.de
David HawsIBM T.J Watson Research CenterVerifisert e-postadresse på us.ibm.com
James CussensSenior Lecturer in Computer Science, University of BristolVerifisert e-postadresse på bristol.ac.uk
Václav KratochvílInstitute of Information Theory and Automation, Czech Academy of SciencesVerifisert e-postadresse på utia.cas.cz
Alberto RoveratoDepartment of Statistical Sciences, University of Padova, ItalyVerifisert e-postadresse på unipd.it
Tomáš KroupaCzech Technical University in PragueVerifisert e-postadresse på fel.cvut.cz
Frantisek MatusSenior ResearcherVerifisert e-postadresse på utia.cas.cz
Philip DawidEmeritus Professor of Statistics, University of CambridgeVerifisert e-postadresse på statslab.cam.ac.uk
Akimichi TakemuraFaculty of Data Science, Shiga University, JAPANVerifisert e-postadresse på biwako.shiga-u.ac.jp
Petr SimecekCEITEC Masaryk UniversityVerifisert e-postadresse på mail.muni.cz

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Milan Studeny

Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic

Verifisert e-postadresse på utia.cas.cz - Startside

Bayesian networks conditional independence probabilistic graphical models algebraic statistics


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Probabilistic conditional independence structures M Studeny Springer Science & Business Media, 2006	378	2006
The multiinformation function as a tool for measuring stochastic dependence M Studený, J Vejnarová Learning in graphical models, 261-297, 1998	250	1998
Conditional independence relations have no finite complete characterization M Studený Information Theory, Statistical Decision Functions and Random Processes …, 1992	215	1992
Multiinformation and the problem of characterization of conditional independence relations M SruoBNÝ	117	1989
Conditional independences among four random variables I F Matúš, M Studený Combinatorics, Probability and Computing 4 (3), 269-278, 1995	116	1995
On chain graph models for description of conditional independence structures M Studený, RR Bouckaert Annals of Statistics, 1434-1495, 1998	115	1998
Formal properties of conditional independence in different calculi of AI M Studený Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European …, 1993	89	1993
A recovery algorithm for chain graphs M Studený International Journal of Approximate Reasoning 17 (2-3), 265-293, 1997	72	1997
Characteristic imsets for learning Bayesian network structure R Hemmecke, S Lindner, M Studený International Journal of Approximate Reasoning 53 (9), 1336-1349, 2012	53	2012
Semigraphoids and structures of probabilistic conditional independence M Studený Annals of Mathematics and Artificial Intelligence 21, 71-98, 1997	53	1997
Bayesian networks from the point of view of chain graphs M Studeny arXiv preprint arXiv:1301.7414, 2013	50	2013
A graphical characterization of the largest chain graphs M Volf, M Studený International Journal of Approximate Reasoning 20 (3), 209-236, 1999	45	1999
Polyhedral aspects of score equivalence in Bayesian network structure learning J Cussens, D Haws, M Studený Mathematical Programming 164, 285-324, 2017	42	2017
A geometric view on learning Bayesian network structures M Studený, J Vomlel, R Hemmecke International Journal of Approximate Reasoning 51 (5), 573-586, 2010	40	2010
Extreme supermodular set functions over five variables M Studený, RR Bouckaert, T Kocka Institute of Information Theory and Automation, 2000	34	2000
Complexity of structural models M Studeny Prague stochastics' 98 (23-28 August 1998), 1998	34	1998
Information theoretical approach to constitution and reduction of medical data J Zvárová, M Studený International Journal of Medical Informatics 45 (1-2), 65-74, 1997	34	1997
Chain graphs: semantics and expressiveness RR Bouckaert, M Studený Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European …, 1995	34	1995
Conditional products: An alternative approach to conditional independence AP Dawid, M Studený Seventh International Workshop on Artificial Intelligence and Statistics, 27-35, 1999	33	1999
Characteristic imset: a simple algebraic representative of a Bayesian network structure M Studený, R Hemmecke, S Lindner Proceedings of the 5th European workshop on probabilistic graphical models …, 2010	31	2010

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