Search results
- 1.0410898 - UTIA-B 20020112 CZ eng A - Abstract
Studený, Milan
On methods of description of conditional independence structures. Abstract.
Prague: Institute of Information Theory and Automation, 2002. Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes. - (Janžura, M.; Mikosch, T.). s. 333
[EMS 2002. 19.08.2002-23.08.2002, Prague]
R&D Projects: GA AV ČR KSK1019101
Institutional research plan: CEZ:AV0Z1075907
Keywords : conditional independence * Markov networks * Bayesian network
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0130985 - 2.0410897 - UTIA-B 20020111 ES eng A - Abstract
Studený, Milan
Algebraic approach to learning Bayesian networks. Abstract.
Valencia: Universitat de Valencia, 2002. BAYESIAN STATISTICS 7 Programme Abstracts Participants. s. 179
[Valencia International Meeting on Bayesian Statisitcs /7./. 01.06.2002-06.06.2002, Playa de las Americas]
R&D Projects: GA AV ČR KSK1019101
Institutional research plan: CEZ:AV0Z1075907
Keywords : learning Bayesian networks * score metric * standard structural imsets
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0130984 - 3.0409500 - UTIA-B 960249 CZ eng A - Abstract
Zvárová, Jana - Studený, Milan
Information theoretical approach to constitution and reduction of medical data. Abstract.
Prague: EuroMISE Center, 1995. EuroMISE '95: Information, Health and Education. - (Zvárová, J.; Malá, I.). s. 88
[TEMPUS International Conference. 20.10.1995-23.10.1995, Prague]
R&D Projects: GA ČR 313/93/0616
Permanent Link: http://hdl.handle.net/11104/0129596 - 4.0402659 - UIVT-O 950270 CZ eng A - Abstract
Zvárová, Jana - Studený, Milan
Information Theoretical Approach to Constitution and Reduction of Medical Data.
EuroMISE 95: Information, Health and Education. Prague: EuroMISE Center, 1995 - (Zvárová, J.; Malá, I.). s. 88
[TEMPUS International Conference. 20.10.1995-23.10.1995, Prague]
R&D Projects: GA ČR GA313/93/0616
Grant - others:COPERNICUS(XE) MUM-10053
Permanent Link: http://hdl.handle.net/11104/0123045 - 5.0347483 - ÚTIA 2011 JP eng A - Abstract
Studený, Milan - Hemmecke, R. - Vomlel, Jiří - Lindner, S.
Polyhedral approach to statistical learning graphical models.
Abstracts of The 2nd CREST-SBM International Conference on Harmony of Groebner Bases and the Moderm Industrial Socienty. Osaka: JST CREST, 2010. s. 1-4.
[The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Moderm Industrial Socienty". 28.06.2010-02.07.2010, Hotel Hankyu Expo Park, Osaka]
Institutional research plan: CEZ:AV0Z10750506
Keywords : Bayesian network * polyhedral approach * imset
Subject RIV: BA - General Mathematics
http://library.utia.cas.cz/separaty/2010/MTR/studeny-polyhedral approach to statistical learning graphical models.pdf
Permanent Link: http://hdl.handle.net/11104/0188256File Download Size Commentary Version Access 0347483.pdf 1 89.6 KB Other open-access