LEADER 01934nam0 2200433 i 450 001 VAN0126744 005 20230626125648.293 017 70$2N$a9783030244941 100 $a20200214d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aBayesian Optimization and Data Science$fFrancesco Archetti, Antonio Candelieri 210 $aCham$cSpringer$d2019 215 $axiii, 126 p.$cill.$d24 cm 410 1$1001VAN0102834$12001 $aSpringerBriefs in optimization$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0236687$aBayesian Optimization and Data Science$91668171 606 $a68Txx$xArtificial intelligence [MSC 2020]$3VANC021266$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 610 $aAcquisition functions$9KW:K 610 $aAutomatic algorithm configuration$9KW:K 610 $aGaussian processes$9KW:K 610 $aKnowledge gradient$9KW:K 610 $aMarkTech$9KW:K 610 $aMarketing$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aArchetti$bFrancesco$3VANV098144$060966 701 1$aCandelieri$bAntonio$3VANV098145$0781001 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-24494-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0126744 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1520 $e08eMF1520 20200214 996 $aBayesian Optimization and Data Science$91668171 997 $aUNICAMPANIA