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Polyhedral aspects of score equivalence in Bayesian network structure learning
SYS 0475315 LBL 01000a^^22220027750^450 005 20240103214149.7 014 $a 84994314193 $2 SCOPUS 014 $a 000403450600012 $2 WOS 017 $a 10.1007/s10107-016-1087-2 $2 DOI 100 $a 20170616d m y slo 03 ba 101 $a eng 102 $a NL 200 1-
$a Polyhedral aspects of score equivalence in Bayesian network structure learning 215 $a 40 s. $c P 463 -1
$1 001 cav_un_epca*0257227 $1 011 $a 0025-5610 $e 1436-4646 $1 200 1 $a Mathematical Programming $v Roč. 164, 1-2 (2017), s. 285-324 $1 210 $c Springer 610 $a family-variable polytope 610 $a characteristic-imset polytope 610 $a score equivalent face/facet 610 $a supermodular set function 700 -1
$3 cav_un_auth*0332730 $a Cussens $b J. $y GB 701 -1
$3 cav_un_auth*0274176 $a Haws $b D. $y US 701 -1
$3 cav_un_auth*0101202 $i Matematická teorie rozhodování $j Department of Decision Making Theory $k MTR $l MTR $w Department of Decision Making Theory $4 070 $a Studený $b Milan $p UTIA-B $z K $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2017/MTR/studeny-0475315.pdf
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