Search results
- 1.0393223 - ÚTIA 2014 RIV US eng J - Journal Article
Studený, Milan - Haws, D.C.
On polyhedral approximations of polytopes for learning Bayesian networks.
Journal of Algebraic Statistics. Roč. 4, č. 1 (2013), s. 59-92. ISSN 1309-3452
R&D Projects: GA ČR GA201/08/0539
Institutional support: RVO:67985556
Keywords : Bayesian network structure * integer programming * standard imset * characteristic imset * LP relaxation
Subject RIV: BA - General Mathematics
http://library.utia.cas.cz/separaty/2013/MTR/studeny-on polyhedral approximations of polytopes for learning bayesian networks.pdf
Permanent Link: http://hdl.handle.net/11104/0221988 - 2.0382596 - ÚTIA 2013 RIV US eng J - Journal Article
Hemmecke, R. - Lindner, S. - Studený, Milan
Characteristic imsets for learning Bayesian network structure.
International Journal of Approximate Reasoning. Roč. 53, č. 9 (2012), s. 1336-1349. ISSN 0888-613X. E-ISSN 1873-4731
R&D Projects: GA MŠMT(CZ) 1M0572; GA ČR GA201/08/0539
Institutional support: RVO:67985556
Keywords : learning Bayesian network structure * essential graph * standard imset * characteristic imset * LP relaxation of a polytope
Subject RIV: BA - General Mathematics
Impact factor: 1.729, year: 2012
http://library.utia.cas.cz/separaty/2012/MTR/studeny-0382596.pdf
Permanent Link: http://hdl.handle.net/11104/0212775 - 3.0377257 - ÚTIA 2013 RIV SG eng C - Conference Paper (international conference)
Studený, Milan - Haws, D. - Hemmecke, R. - Lindner, S.
Polyhedral approach to statistical learning graphical models.
Harmony of Gröbner Bases and the Modern Industrial Society. Singapore: World Scientific Press, 2012, s. 346-372. ISBN 978-981-4383-45-5.
[The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Modern Industrial Society". Osaka (JP), 28.06.2012-2.07.2012]
R&D Projects: GA ČR GA201/08/0539
Institutional support: RVO:67985556
Keywords : Bayesian network stucture * standard imset * characteristic imset * polyhedral geometry
Subject RIV: BA - General Mathematics
http://library.utia.cas.cz/separaty/2012/MTR/studeny-polyhedral approach to statistical learning graphical models.pdf
Permanent Link: http://hdl.handle.net/11104/0209464 - 4.0358907 - ÚTIA 2012 RIV US eng J - Journal Article
Studený, Milan - Vomlel, Jiří
On open questions in the geometric approach to structural learning Bayesian nets.
International Journal of Approximate Reasoning. Roč. 52, č. 5 (2011), s. 627-640. ISSN 0888-613X. E-ISSN 1873-4731.
[Workshop on Uncertainty Processing WUPES'09 /8./. Liblice, 19.09.2009-23.09.2009]
R&D Projects: GA MŠMT(CZ) 1M0572; GA ČR GA201/08/0539; GA ČR GEICC/08/E010
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : structural learning Bayesian nets * standard imset * polytope * geometric neighborhood * differential imset
Subject RIV: BA - General Mathematics
Impact factor: 1.948, year: 2011
http://library.utia.cas.cz/separaty/2011/MTR/studeny-0358907.pdf
Permanent Link: http://hdl.handle.net/11104/0196817 - 5.0342804 - ÚTIA 2011 RIV US eng J - Journal Article
Studený, Milan - Vomlel, Jiří - Hemmecke, R.
A geometric view on learning Bayesian network structures.
International Journal of Approximate Reasoning. Roč. 51, č. 5 (2010), s. 578-586. ISSN 0888-613X. E-ISSN 1873-4731.
[PGM 2008]
R&D Projects: GA AV ČR(CZ) IAA100750603; GA MŠMT(CZ) 1M0572; GA ČR GA201/08/0539
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : learning Bayesian networks * standard imset * inclusion neighborhood * geometric neighborhood * GES algorithm
Subject RIV: BA - General Mathematics
Impact factor: 1.679, year: 2010
http://library.utia.cas.cz/separaty/2010/MTR/studeny-0342804.pdf
Permanent Link: http://hdl.handle.net/11104/0185432 - 6.0329649 - ÚTIA 2010 RIV CZ eng C - Conference Paper (international conference)
Studený, Milan - Vomlel, Jiří
On open questions in the geometric approach to learning BN structures.
[O otevřených otázkách v geometrickém přístupu k učení struktury Bayesovkých sítí.]
WUPES'09. Praha: University of Economics Prague, 2009 - (Kroupa, T.; Vejnarová, J.), s. 226-236. ISBN 978-80-245-1543-4.
[8th Workshop on Uncertainty Processing. Liblice (CZ), 19.09.2009-23.09.2009]
R&D Projects: GA MŠMT(CZ) 1M0572; GA ČR GA201/08/0539
Grant - others:European Science Foundation(XE) ICC/08/E010; GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : Bayesian network structure * polytope * standard imset
Subject RIV: BA - General Mathematics
http://library.utia.cas.cz/separaty/2009/MTR/studeny-on open questions in the geometric approach to learning bn structures.pdf
Permanent Link: http://hdl.handle.net/11104/0175628 - 7.0322545 - ÚTIA 2014 RIV US eng J - Journal Article
Studený, Milan - Vomlel, Jiří
A reconstruction algorithm for the essential graph.
[Rekonstrukční algoritmus pro esenciální graf.]
International Journal of Approximate Reasoning. Roč. 50, č. 2 (2009), s. 385-413. ISSN 0888-613X. E-ISSN 1873-4731
R&D Projects: GA AV ČR(CZ) IAA100750603; GA MŠMT 1M0572; GA ČR GA201/08/0539; GA ČR GA201/04/0393
Institutional research plan: CEZ:AV0Z10750506
Keywords : Bayesian network structure * chain graph * essential graph * standard imset
Subject RIV: BA - General Mathematics
Impact factor: 2.090, year: 2009
http://library.utia.cas.cz/separaty/2009/MTR/studeny-0322545.pdf
Permanent Link: http://hdl.handle.net/11104/0170769 - 8.0106351 - UTIA-B 20040163 RIV NL eng C - Conference Paper (international conference)
Studený, Milan - Vomlel, Jiří
Transition between graphical and algebraic representatives of Bayesian network models.
[Přechod mezi grafickými a algebraickými reprezentanty modelů určených Bayesovskými sítěmi.]
Proceedings of the Second European Workshop on Probabilistic Graphical Models. Nijmegen: University of Nijmegen, 2004 - (Lucas, P.), s. 193-200
[Probabilistic Graphical Models PGM'04 /2./. Leiden (NL), 04.10.2004-08.10.2004]
R&D Projects: GA ČR GA201/04/0393
Institutional research plan: CEZ:AV0Z1075907
Keywords : Bayesian network * essential graph * standard imset
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0013533 - 9.0040066 - ÚTIA 2007 RIV FR eng C - Conference Paper (international conference)
Studený, Milan
An algeraic approach to structural learning Bayesian networks.
[Algebraický přístup k strukturálnímu učení Bayesovských sítí.]
IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Paris: Editions EDK, 2006 - (Bouchon-Meunier, B.; Yager, R.), s. 2284-2291. ISBN 2-84254-112-X.
[IMPU 2006. Paris (FR), 02.07.2006-07.07.2006]
R&D Projects: GA ČR GA201/04/0393
Institutional research plan: CEZ:AV0Z10750506
Keywords : learning Bayesian networks * standard imset * data vector
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0133928