LEADER 02073nam0 22005413i 450 001 VAN00295417 005 20250916124335.472 017 70$2N$a9781475724400 100 $a20250620d1995 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aˆThe ‰Nature of Statistical Learning Theory$fVladimir N. Vapnik 210 $aNew York$cSpringer$d1995 215 $axv, 188 p.$cill.$d24 cm 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62B10$xStatistical aspects of information-theoretic topics [MSC 2020]$3VANC021208$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 610 $aAlgorithms$9KW:K 610 $aBoundary Element Methods$9KW:K 610 $aConstructions$9KW:K 610 $aControlling$9KW:K 610 $aConvergence$9KW:K 610 $aFunctional$9KW:K 610 $aFunctions$9KW:K 610 $aLearning$9KW:K 610 $aLearning algorithms$9KW:K 610 $aLearning theory$9KW:K 610 $aModels$9KW:K 610 $aProofs$9KW:K 610 $aStatistical Theory$9KW:K 610 $aStatistics$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aVapnik$bVladimir N.$3VANV251378$0340438 712 $aSpringer $3VANV108073$4650 790 1$aVapnik, V. N.$zVapnik, Vladimir N.$3VANV251379 790 1$aVapnik, V.N.$zVapnik, Vladimir N.$3VANV251380 801 $aIT$bSOL$c20250919$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4757-2440-0$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 $aVAN00295417 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 11979 $e08eMF11979 20250728 996 $aNature of statistical learning theory$9330768 997 $aUNICAMPANIA