LEADER 00743nam0-22002771i-450- 001 990001254060403321 035 $a000125406 035 $aFED01000125406 035 $a(Aleph)000125406FED01 035 $a000125406 100 $a20000920d--------km-y0itay50------ba 101 0 $aeng 200 1 $aDifferenzierbare g-mannigfaltigkeiten$fder Janich 205 $a$aBerlin : Springer - 210 $aBerlin 225 1 $aLecture Notes in Mathematics 300 $avol 59 ? 700 1$aJanich,$bKlaus$056646 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001254060403321 952 $aC-20-(59$b7983$fMA1 959 $aMA1 996 $aDifferenzierbare G-Mannigfaltigkeiten$983087 997 $aUNINA DB $aING01 LEADER 00898nam0-2200313---450- 001 990010102310403321 005 20160915130934.0 010 $a978-0-521-51814-7 035 $a001010231 035 $aFED01001010231 035 $a(Aleph)001010231FED01 035 $a001010231 100 $a20160915d2012----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $aa-------001yy 200 1 $aBayesian reasoning and machine learning$fDavid Barber 210 $aCambridge$cCambridge University press$dİ2012 215 $axxiv, 697 p.$cill.$d24 cm 610 0 $aApprendimento da parte della macchina 610 0 $aStatistica Bayesiana$aTeoria delle decisioni 676 $a006.31 700 1$aBarber,$bDavid 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990010102310403321 952 $a10 C 645$bBIBLIODIETI163/2016$fDINEL 959 $aDINEL 997 $aUNINA