LEADER 01901nam0 22004693i 450 001 VAN00296550 005 20250926120201.216 017 70$2N$a9781461207450 100 $a20250711d1996 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aBayesian Learning for Neural Networks$fRadford M. Neal 210 $aNew York$cSpringer$d1996 215 $axiv, 183 p.$d24 cm 410 1$1001VAN00001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$d1980-$v118 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a65Cxx$xProbabilistic methods, stochastic differential equations [MSC 2020]$3VANC028329$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 610 $aAlgorithms$9KW:K 610 $aArtificial Intelligence$9KW:K 610 $aClassification$9KW:K 610 $aFitting$9KW:K 610 $aIntelligence$9KW:K 610 $aLearning$9KW:K 610 $aLikelihood$9KW:K 610 $aStatistics$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aNeal$bRadford M.$3VANV252272$0116958 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20251003$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4612-0745-0$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 $aVAN00296550 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 12174 $e08eMF12174 20250924 996 $aBayesian learning for neural networks$982541 997 $aUNICAMPANIA