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.
Document Type: | Article (unreviewed) |
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Zitierlink: | https://opus.hs-offenburg.de/4318 | Bibliografische Angaben |
Title (English): | Machine Learning explored: Can ECAs benefit? |
Author: | Simone Krummaker, Mathias BärtlStaff MemberGND |
Year of Publication: | 2020 |
Creating Corporation: | Berne Union |
First Page: | 149 |
Last Page: | 152 |
Parent Title (English): | Berne Union Yearbook |
URL: | https://bublob.blob.core.windows.net/assets/Images/Berne%20Union%20Yearbook%202020.pdf |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / IfTI - Institute for Trade and Innovation |
Fakultät Wirtschaft (W) | |
Institutes: | Bibliografie |
DDC classes: | 300 Sozialwissenschaften |
GND Keyword: | Maschinelles Lernen |
Tag: | Machine Learning | Formale Angaben |
Open Access: | Open Access |
Licence (German): | Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International |