Polyhedral aspects of score equivalence in Bayesian network structure learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00475315" target="_blank" >RIV/67985556:_____/17:00475315 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10107-016-1087-2" target="_blank" >http://dx.doi.org/10.1007/s10107-016-1087-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10107-016-1087-2" target="_blank" >10.1007/s10107-016-1087-2</a>
Alternative languages
Result language
angličtina
Original language name
Polyhedral aspects of score equivalence in Bayesian network structure learning
Original language description
This paper deals with faces and facets of the family-variable polytope and the characteristic-imset polytope, which are special polytopes used in integer linear programming approaches to statistically learn Bayesian network structure. A common form of linear objectives to be maximized in this area leads to the concept of score equivalence (SE), both for linear objectives and for faces of the family-variable polytope.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematical Programming
ISSN
0025-5610
e-ISSN
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Volume of the periodical
164
Issue of the periodical within the volume
1-2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
40
Pages from-to
285-324
UT code for WoS article
000403450600012
EID of the result in the Scopus database
2-s2.0-84994314193