LEADER 01030cam0 2200265 450 001 E600200004961 005 20200609080511.0 100 $a20040921d1968 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $a<>quattro chiare stelle e le tre facelle del Purgatorio di Dante$estoria critica soluzione. Disegni originali dell'autore$fBeniamino Andriani 210 $aS.l.$cStudi e ricerche$d1968 215 $a82 p.$d23 cm. 225 2 $aStudi di storia e filosofia$v3 410 1$1001LAEC00020526$12001 $a*Studi di storia e filosofia$v3 700 1$aAndriani$b, Beniamino$3A600200026821$4070$0192407 801 0$aIT$bUNISOB$c20200609$gRICA 850 $aUNISOB 852 $aUNISOB$j850.1$m119170 912 $aE600200004961 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a850.1$b000186$gSi$d119170$hEsposito$rdono$1diguida$2UNISOB$3UNISOB$420040921072527.0$520200609080446.0$6Alfano 996 $aQuattro chiare stelle e le tre facelle del Purgatorio di Dante$9701745 997 $aUNISOB LEADER 01696nam a2200337 i 4500 001 991001234559707536 005 20020507113227.0 008 970308s1963 us ||| | eng 035 $ab1019230x-39ule_inst 035 $aLE00644377$9ExL 040 $aDip.to Fisica$bita 084 $a53(082.2) 084 $a53.3.1 084 $a539.72 111 2 $aCourse of the International School of Physics "Enrico Fermi" on selected topics on elementary particle physics$0463850 245 10$aSelected topics on elementary particle physics = Argomenti scelti sulla fisica delle particelle elementari :$bproceedings of the International School of Physics "Enrico Fermi", Course XXVI (Varenna on Lake Como, Villa Monastero, July 23-August 4 1962) /$cedited by M. Conversi ; Italian Physical Society 260 $aNew York :$bAcademic Press, Inc.,$c1963 300 $aviii, 294 p. ;$c24 cm. 490 0 $aProceedings of the International School of Physics "Enrico Fermi" ;$v26 490 0 $aRendiconti della Scuola Internazionale di Fisica "Enrico Fermi" ;$v26 650 4$aElementary particles$xCongresses 700 1 $aConversi, M. 710 2 $aInternational School of Physics "Enrico Fermi" 710 2 $aSIF 740 0 $aArgomenti scelti sulla fisica delle particelle elementari 907 $a.b1019230x$b17-02-17$c27-06-02 912 $a991001234559707536 945 $aLE006 53(042+082.2) VAR$g1$i2006000035873$lle006$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i1023729x$z27-06-02 996 $aSelected topics on elementary particle physics = Argomenti scelti sulla fisica delle particelle elementari$9191577 997 $aUNISALENTO 998 $ale006$b01-01-97$cm$da $e-$feng$gus $h0$i1 LEADER 03119nam 22005415 450 001 9910483031303321 005 20250504234015.0 010 $a3-030-24359-1 024 7 $a10.1007/978-3-030-24359-3 035 $a(CKB)4100000008736989 035 $a(MiAaPQ)EBC5831111 035 $a(DE-He213)978-3-030-24359-3 035 $a(PPN)243770685 035 $a(EXLCZ)994100000008736989 100 $a20190717d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModel Selection and Error Estimation in a Nutshell /$fby Luca Oneto 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (135 pages) 225 1 $aModeling and Optimization in Science and Technologies,$x2196-7334 ;$v15 311 08$a3-030-24358-3 327 $aIntroduction -- The ?Five W? of MS & EE -- Preliminaries -- Resampling Methods -- Complexity-Based Methods -- Compression Bound -- Algorithmic Stability Theory -- PAC-Bayes Theory -- Di?erential Privacy Theory -- Conclusions & Further Readings. 330 $aHow can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80?s and includes the most recent results. It discusses open problems and outlines future directions for research. 410 0$aModeling and Optimization in Science and Technologies,$x2196-7334 ;$v15 606 $aComputational intelligence 606 $aStatistics 606 $aData mining 606 $aComputational Intelligence 606 $aStatistical Theory and Methods 606 $aData Mining and Knowledge Discovery 615 0$aComputational intelligence. 615 0$aStatistics. 615 0$aData mining. 615 14$aComputational Intelligence. 615 24$aStatistical Theory and Methods. 615 24$aData Mining and Knowledge Discovery. 676 $a006.31 676 $a006.31 700 $aOneto$b Luca$4aut$4http://id.loc.gov/vocabulary/relators/aut$01080855 906 $aBOOK 912 $a9910483031303321 996 $aModel Selection and Error Estimation in a Nutshell$92854965 997 $aUNINA