3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Denuit, Michel
|
| Titolo: |
3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
|
| Pubblicazione: | Cham, : Springer, 2019 |
| Titolo uniforme: | Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions |
| Descrizione fisica: | xiii, 250 p. : ill. ; 24 cm |
| Soggetto topico: | 68-XX - Computer science [MSC 2020] |
| 62-XX - Statistics [MSC 2020] | |
| 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] | |
| 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] | |
| Soggetto non controllato: | Actuarial modeling |
| Deep learing for insurance | |
| Insurance risk classification | |
| Machine learning | |
| Neural networks | |
| Altri autori: |
Hainaut, Donatien
Trufin, Julien
|
| Titolo autorizzato: | Effective Statistical Learning Methods for Actuaries. 3, Neural Networks and Extensions |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN0126843 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-25827-6 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Actuarial Lecture notes Cham [etc.] . -Springer
Fa parte di:
Effective Statistical Learning Methods for Actuaries / Michel Denuit, Donatien Hainaut, Julien Trufin Cham . -Springer , 2019-2020 volumi . -ill. , 24 cm ; 3