Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 28 of 452
Back to Result List

Machine Learning explored: Can ECAs benefit?

  • This contribution provides practical guidelines for the utilisation of machine learning techniques to predict the occurrence of claims in export credit finance.

Export metadata

Statistics

frontdoor_oas
Metadaten
Author:Simone Krummaker, Mathias BärtlGND
Creating Corporation:Berne Union
Year of Publication:2020
Language:English
GND Keyword:Maschinelles Lernen
Tag:Machine Learning
DDC classes:300 Sozialwissenschaften
Parent Title (English):Berne Union Yearbook
First Page:149
Last Page:152
Document Type:Article (unreviewed)
Open Access:Frei zugänglich
Institutes:Bibliografie
Release Date:2020/12/07
Licence (German):License LogoCreative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
URL:https://bublob.blob.core.windows.net/assets/Images/Berne%20Union%20Yearbook%202020.pdf