00904nam a22002533i 450099100107983970753620040221073746.0040318s1974 it |||||||||||||||||ita b1271494x-39ule_instARCHE-069920ExLDip.to FilosofiaitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.791.43Rondolino, Gianni143860Rossellini /Roberto Rossellini di Gianni RondolinoFirenze :La nuova Italia,1974125 p. ;17 cmIl castoro cinema ;4Rossellini, Roberto.b1271494x02-04-1431-03-04991001079839707536LE005 MF 18 B 431LE005MF-6972le005-E0.00-l- 00000.i1323875931-03-04Rossellini270075UNISALENTOle00531-03-04ma -itait 0102316nam2 2200445 i 450 VAN0012684320240806100822.620N978303025827620200217d2019 |0itac50 baengCH|||| |||||ˆ3: ‰Neural Networks and ExtensionsMichel Denuit, Donatien Hainaut, Julien TrufinChamSpringer2019xiii, 250 p.ill.24 cm001VAN001243832001 Springer Actuarial Lecture notes210 Cham [etc.]Springer001VAN001268442001 Effective Statistical Learning Methods for ActuariesMichel Denuit, Donatien Hainaut, Julien Trufin210 ChamSpringer2019-2020215 volumiill.24 cm3VAN00236744Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions298330362-XXStatistics [MSC 2020]VANC022998MF62M45Neural nets and related approaches to inference from stochastic processes [MSC 2020]VANC026513MF62P05Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]VANC030682MF68-XXComputer science [MSC 2020]VANC019670MFActuarial modelingKW:KDeep learing for insuranceKW:KInsurance risk classificationKW:KMachine learningKW:KNeural networksKW:KCHChamVANL001889DenuitMichelVANV098250781288HainautDonatienVANV098251781289TrufinJulienVANV098252781290Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-25827-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00126843BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 1565 08eMF1565 20200217 Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions2983303UNICAMPANIA