LEADER 01505nam0 2200337 i 450 001 VAN0128818 005 20240202125102.764 010 $a978-17-85482-36-6 100 $a20200511d2019 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aAdvances in domain adaptation theory$fIevgen Redko ?$bet al.] 210 $aLondon$cISTE ; Oxford$cElsevier$d2019 215 $axvii, 190 p.$cill.$d24 cm 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68Txx$xArtificial intelligence [MSC 2020]$3VANC021266$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62C12$xEmpirical decision procedures; empirical Bayes procedures [MSC 2020]$3VANC026448$2MF 620 $aGB$dLondon$3VANL000015 620 $aGB$dOxford$3VANL000020 702 1$aRedko$bIevgen$3VANV100759 712 $aElsevier $3VANV108024$4650 712 $aISTE$3VANV115090$4650 801 $aIT$bSOL$c20240209$gRICA 856 4 $uhttps://books.google.it/books?id=aM8mDwAAQBAJ&printsec=frontcover&hl=it$zhttps://books.google.it/books?id=aM8mDwAAQBAJ&printsec=frontcover&hl=it 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0128818 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 68-XX 3624 $e08DMF591 I 20200511 996 $aAdvances in domain adaptation theory$91742903 997 $aUNICAMPANIA