LEADER 01194nam0 22003253i 450 001 VAN0278247 005 20240619092416.80 017 70$2N$a9784431569220 100 $a20240619d2022 |0itac50 ba 101 $aeng 102 $aJP 105 $a|||| ||||| 200 1 $aMinimum Divergence Methods in Statistical Machine Learning$eFrom an Information Geometric Viewpoint$fShinto Eguchi, Osamu Komori 210 $aTokyo$cSpringer$d2022 215 $ax, 221 p.$cill.$d24 cm 610 $aBoosting$9KW:K 610 $aIndependent component analysis$9KW:K 610 $aInformation Geometry$9KW:K 610 $aKernel Method$9KW:K 610 $aMachine learning$9KW:K 620 $dTokyo$3VANL000048 700 1$aEguchi$bShinto$3VANV098680$0781822 701 1$aKomori$bOsamu$3VANV098679$0781821 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240621$gRICA 856 4 $uhttps://doi.org/10.1007/978-4-431-56922-0$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 912 $fN 912 $aVAN0278247 996 $aMinimum Divergence Methods in Statistical Machine Learning$94165534 997 $aUNICAMPANIA