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  1. 1.
    0377918 - ÚTIA 2013 CZ eng V - Research Report
    Studený, Milan
    LP relaxations and pruning for characteristic imsets.
    Praha: ÚTIA AVČR, 2012. 30 s. Research Report, 2323.
    R&D Projects: GA ČR GA201/08/0539
    Institutional support: RVO:67985556
    Keywords : learning Bayesian network structure * quality criterion * integer linear programming
    Subject RIV: BA - General Mathematics
    http://library.utia.cas.cz/separaty/2012/MTR/Studeny-LP relaxations and pruning for characteristic imsets.pdf
    Permanent Link: http://hdl.handle.net/11104/0209940
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    0377918.pdf2454.6 KBOtheropen-access
     
     
  2. 2.
    0363159 - ÚTIA 2012 CZ eng V - Research Report
    Studený, Milan - Haws, D.
    On polyhedral approximations of polytopes for learning Bayes nets.
    Praha: ÚTIA AV ČR, 2011. 31 s. Research Report, 2303.
    R&D Projects: GA ČR GA201/08/0539
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : learning Bayesian networks * imsets * polytopes
    Subject RIV: BA - General Mathematics
    http://library.utia.cas.cz/separaty/2011/MTR/studeny-on polyhedral approximations of polytopes for learning bayes nets.pdf
    Permanent Link: http://hdl.handle.net/11104/0199217
    FileDownloadSizeCommentaryVersionAccess
    0363159.pdf1412.7 KBOtheropen-access
     
     
  3. 3.
    0316811 - ÚTIA 2009 CZ eng V - Research Report
    Studený, Milan
    Mathematical aspects of learning Bayesian networks: Bayesian quality criteria.
    [Matematické aspekty učení Bayesovských sítí: Bayesovská kriteria kvality.]
    Praha: ÚTIA AV ČR, v.v.i, 2008. 49 s. Research Report, 2234.
    R&D Projects: GA ČR GA201/08/0539
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : learning BN structures * statistical model * multinomial and Dirichlet distribution * exponential family * Bayesian quality criterion * data vector
    Subject RIV: BA - General Mathematics
    http://library.utia.cas.cz/separaty/2008/MTR/studeny-mathematical aspects of learning bayesian networks bayesian quality criteria.pdf
    Permanent Link: http://hdl.handle.net/11104/0166623
    FileDownloadSizeCommentaryVersionAccess
    0316811.pdf0487 KBOtheropen-access
     
     


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