0347483 20240103193901.720101102235959.9 4 s. cav_un_epca*03489251-4OsakaJST CREST2010 Bayesian network polyhedral approach imset cav_un_auth*0101202 Studený Milan Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0261765 Hemmecke R. DE cav_un_auth*0101228 Vomlel Jiří Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0268009 Lindner S. DE http://library.utia.cas.cz/separaty/2010/MTR/studeny-polyhedral approach to statistical learning graphical models.pdf CEZ:AV0Z10750506 The aim is to explain how the statistical task to learn Bayesian network structure from data leads to the study of a special polyhedron, and report on what was found about that polyhedron so far. cav_un_auth*0264295 The 2nd CREST-SBM International Conference "Harmony of Groebner Bases and the Moderm Industrial Socienty" Hotel Hankyu Expo Park, Osaka 28.06.2010-02.07.2010 JP 2011 BA 4 O 4o 20231122134143.8 http://hdl.handle.net/11104/0188256 2010 Soubory v repozitáři: 0347483.pdf cav_un_epca*0348925 Abstracts of The 2nd CREST-SBM International Conference on Harmony of Groebner Bases and the Moderm Industrial Socienty 1 4 Osaka JST CREST 2010