LEADER 01358nam0 2200325 i 450 
001 SUN0128818
005 20200511015347.578
010   $a978-17-85482-36-6$d0.00
100   $a20200511d2019       |0engc50      ba
101   $aeng
102   $aGB
105   $a||||    |||||
200 1 $a*Advances in domain adaptation theory$fIevgen Redko ?$bet al.]
210   $aLondon$cISTE ; Oxford$cElsevier$d2019
215   $axvii, 190 p.$cill.$d24 cm.
606   $a68-XX$xComputer science [MSC 2020]$2MF$3SUNC019670
606   $a68Txx$xArtificial intelligence [MSC 2020]$2MF$3SUNC021266
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62C12$xEmpirical decision procedures; empirical Bayes procedures [MSC 2020]$2MF$3SUNC026448
620   $aGB$dLondon$3SUNL000015
620   $aGB$dOxford$3SUNL000020
702  1$aRedko$b, Ievgen$3SUNV100759
712   $aElsevier$3SUNV000127$4650
712   $aISTE$3SUNV010606$4650
801   $aIT$bSOL$c20200720$gRICA
856 4 $uhttps://books.google.it/books?id=aM8mDwAAQBAJ&printsec=frontcover&hl=it
912   $aSUN0128818
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST     68-XX                   3624        $e08DMF591       I       20200511            
996   $aAdvances in domain adaptation theory$91742903
997   $aUNICAMPANIA