LEADER 02520nam0 22005293i 450 001 VAN00276167 005 20240806101544.436 017 70$2N$a9783030983161 100 $a20240522d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aˆAn ‰Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces$fSergei Pereverzyev 210 $aCham$cBirkhäuser$cSpringer$d2022 215 $axiv, 152 p.$cill.$d24 cm 410 1$1001VAN00103268$12001 $aCompact textbooks in mathematics$1210 $aBasel [etc.]$cBirkhäuser$d2013- 606 $a62G05$xNonparametric estimation [MSC 2020]$3VANC029306$2MF 606 $a65C20$xProbabilistic models, generic numerical methods in probability and statistics [MSC 2020]$3VANC031449$2MF 606 $a65J20$xNumerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020]$3VANC025244$2MF 606 $a68Q32$xComputational learning theory [MSC 2020]$3VANC035165$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 610 $aArtificial Intelligence$9KW:K 610 $aDeep Learning$9KW:K 610 $aExamples$9KW:K 610 $aIntegral operators$9KW:K 610 $aLearning theory$9KW:K 610 $aLinear regularization Tikhonov$9KW:K 610 $aRKHS deep neural networks$9KW:K 610 $aRanking learning$9KW:K 610 $aRegression learning$9KW:K 610 $aRegularization theory$9KW:K 610 $aReinforcement Learning$9KW:K 610 $aReproducing Kernel Hilbert spaces$9KW:K 610 $aStatistical learning$9KW:K 610 $aUnsupervised Domain Adaptation$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aPereverzyev$bSergei$3VANV228873$01738571 712 $aBirkhäuser $3VANV108193$4650 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250131$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-98316-1$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 $aVAN00276167 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 8575 $e08eMF8575 20240604 996 $aIntroduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces$94160954 997 $aUNICAMPANIA