Počet záznamů: 1  

Polyhedral aspects of score equivalence in Bayesian network structure learning

  1. 1. 0475315 - UTIA-B 2018 RIV NL eng J - Článek v odborném periodiku
    Cussens, J. - Haws, D. - Studený, Milan
    Polyhedral aspects of score equivalence in Bayesian network structure learning.
    Mathematical Programming. Roč. 164, 1-2 (2017), s. 285-324. ISSN 0025-5610
    Grant CEP: GA ČR GA13-20012S; GA ČR(CZ) GA16-12010S
    Institucionální podpora: RVO:67985556
    Klíčová slova: family-variable polytope * characteristic-imset polytope * score equivalent face/facet * supermodular set function
    Kód oboru RIV: BA - Obecná matematika
    Obor OECD: Applied mathematics
    Impakt faktor: 2.665, rok: 2017
    http://library.utia.cas.cz/separaty/2017/MTR/studeny-0475315.pdf

    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.
    Trvalý link: http://hdl.handle.net/11104/0272344