LEADER 01633nam0 22003853i 450 001 VAN00278850 005 20240828105246.570 017 70$2N$a9783031310119 100 $a20240701d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aLearning in the Absence of Training Data$fDalia Chakrabarty 210 $aCham$cSpringer$d2023 215 $axviii, 227 p.$cill.$d24 cm 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 610 $aBayesian methods$9KW:K 610 $aChoosing priors on unknown parameters$9KW:K 610 $aGenerating the originally-absent training data$9KW:K 610 $aPrediction given Test Data$9KW:K 610 $aSupervised learning$9KW:K 610 $aTraining Data$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aChakrabarty$bDalia$3VANV231398$01373522 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-31011-9$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 $aVAN00278850 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9198 $e08eMF9198 20240702 996 $aLearning in the Absence of Training Data$93404585 997 $aUNICAMPANIA