02311nam2 2200445 i 450 VAN012684320230626021607.418N978303025827620200217d2019 |0itac50 baengCH|||| |||||ˆ3: ‰Neural Networks and ExtensionsMichel Denuit, Donatien Hainaut, Julien TrufinChamSpringer2019xiii, 250 p.ill.24 cm001VAN01243832001 Springer Actuarial Lecture notes210 Cham [etc.]Springer001VAN01268442001 Effective Statistical Learning Methods for ActuariesMichel Denuit, Donatien Hainaut, Julien Trufin210 ChamSpringer2019-2020215 volumiill.24 cm3VAN0236744Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions298330368-XXComputer science [MSC 2020]VANC019670MF62-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]VANC030682MFActuarial modelingKW:KDeep learing for insuranceKW:KInsurance risk classificationKW:KMachine learningKW:KNeural networksKW:KCHChamVANL001889DenuitMichelVANV098250781288HainautDonatienVANV098251781289TrufinJulienVANV098252781290Springer <editore>VANV108073650ITSOL20240614RICAhttp://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-CE0120VAN08NVAN0126843BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 1565 08eMF1565 20200217 Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions2983303UNICAMPANIA