LEADER 03483nam 22006494a 450 001 9910783421103321 005 20230617003952.0 010 $a1-280-50590-7 010 $a9786610505906 010 $a1-4175-1139-7 010 $a600-00-0332-3 010 $a1-60129-401-8 035 $a(CKB)1000000000243893 035 $a(EBL)267471 035 $a(OCoLC)191037932 035 $a(SSID)ssj0000098869 035 $a(PQKBManifestationID)11113429 035 $a(PQKBTitleCode)TC0000098869 035 $a(PQKBWorkID)10136034 035 $a(PQKB)11238330 035 $a(MiAaPQ)EBC267471 035 $a(Au-PeEL)EBL267471 035 $a(CaPaEBR)ebr10116496 035 $a(CaONFJC)MIL50590 035 $a(OCoLC)70720234 035 $a(EXLCZ)991000000000243893 100 $a20030311d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in learning theory$b[electronic resource] $emethods, models, and applications /$fedited by Johan Suykens ... [et al.] 210 $aAmsterdam ;$aWashington, DC $cIOS Press ;$aTokyo $cOhmsha$dc2003 215 $a1 online resource (438 p.) 225 1 $aNATO science series. Series III, Computer and systems sciences,$x1387-6694 ;$vv. 190 300 $a"Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--T.p. verso. 300 $a"Published in cooperation with NATO Scientific Affairs Division." 311 $a1-58603-341-7 320 $aIncludes bibliographical references and indexes. 327 $aCover; Title page; Preface; Organizing committee; List of chapter contributors; Contents; 1 An Overview of Statistical Learning Theory; 2 Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem; 3 Cucker Smale Learning Theory in Besov Spaces; 4 High-dimensional Approximation by Neural Networks; 5 Functional Learning through Kernels; 6 Leave-one-out Error and Stability of Learning Algorithms with Applications; 7 Regularized Least-Squares Classification; 8 Support Vector Machines: Least Squares Approaches and Extensions 327 $a9 Extension of the ?-SVM Range for Classification10 Kernels Methods for Text Processing; 11 An Optimization Perspective on Kernel Partial Least Squares Regression; 12 Multiclass Learning with Output Codes; 13 Bayesian Regression and Classification; 14 Bayesian Field Theory: from Likelihood Fields to Hyperfields; 15 Bayesian Smoothing and Information Geometry; 16 Nonparametric Prediction; 17 Recent Advances in Statistical Learning Theory; 18 Neural Networks in Measurement Systems (an engineering view); List of participants; Subject Index; Author Index 330 $aThis text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics. 410 0$aNATO science series.$nSeries III,$pComputer and systems sciences ;$vv. 190. 606 $aComputational learning theory$vCongresses 606 $aMachine learning$xMathematical models$vCongresses 615 0$aComputational learning theory 615 0$aMachine learning$xMathematical models 676 $a006.3/1 701 $aSuykens$b Johan A. K$022315 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783421103321 996 $aAdvances in learning theory$93788314 997 $aUNINA LEADER 02593nam 2200613 450 001 9910815003403321 005 20230205051332.0 010 $a1-4426-2576-7 010 $a1-4426-2575-9 024 7 $a10.3138/9781442625754 035 $a(CKB)3710000000473863 035 $a(EBL)4180496 035 $a(OCoLC)940512708 035 $a(MiAaPQ)EBC4669244 035 $a(OOCEL)450584 035 $a(OCoLC)921143518 035 $a(CaBNVSL)thg00970047 035 $a(MiAaPQ)EBC4180496 035 $a(DE-B1597)465836 035 $a(OCoLC)979781041 035 $a(DE-B1597)9781442625754 035 $a(Au-PeEL)EBL4669244 035 $a(CaPaEBR)ebr11255787 035 $a(MdBmJHUP)musev2_107244 035 $a(EXLCZ)993710000000473863 100 $a20160914h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 14$aThe ethical dimension of the Decameron /$fMarilyn Migiel 210 1$aToronto, [Ontario] ;$aBuffalo, [New York] ;$aLondon, [England] :$cUniversity of Toronto Press,$d2015. 210 4$dİ2015 215 $a1 online resource (209 p.) 225 0 $aToronto Italian Studies 311 $a1-4426-3188-0 320 $aIncludes bibliographical references and index. 327 $aWanted : translators of the Decameron's moral and ethical complexities -- He said, she said, we read : an ethical reflection on a confluence of voices -- Can the lower classes be wise? (for the answer, see your translation of the Decameron) -- Some restrictions apply : testing the reader in Decameron 3.8 -- Rushing to judge? Read the story of Tofano and Ghita (Decameron 7.4) -- New lessons in criticism and blame from the Decameron -- He ironizes, he ironizes not, he ironizes ... -- To conclude : a conclusion that is not one. 330 $aMarilyn Migiel returns to Giovanni Boccaccio's masterpiece, this time to focus on the dialogue about ethical choices that the Decameron creates with us and that we, as individuals and as groups, create with the Decameron. 410 0$aToronto Italian studies. 606 $aEthics in literature 606 $aItalian literature$yTo 1400$xHistory and criticism 615 0$aEthics in literature. 615 0$aItalian literature$xHistory and criticism. 676 $a853/.1 700 $aMigiel$b Marilyn$f1954-$01647431 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815003403321 996 $aThe ethical dimension of the Decameron$93994955 997 $aUNINA