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Polyhedral approach to statistical learning graphical models
- 1.0347483 - 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
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.
Permanent Link: http://hdl.handle.net/11104/0188256
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