Evaluating accession decisions in customs unions : a dynamic machine learning approach
Year of publication: |
2023
|
---|---|
Authors: | Naeher, Dominik ; De Lombaerde, Philippe ; Saber, Takfarinas |
Publisher: |
[Brugge, Belgium] : UNU-CRIS |
Subject: | Regional integration | Customs union | Accession | Machine learning | Dynamic clustering algorithm | Künstliche Intelligenz | Artificial intelligence | Zollunion | Theorie | Theory | Algorithmus | Algorithm |
-
Evaluating accession decisions in customs unions : a dynamic machine learning approach
Naeher, Dominik, (2024)
-
Regional integration clusters and optimum customs unions : a machine-learning approach
De Lombaerde, Philippe, (2021)
-
Regional integration clusters and optimum customs unions : a machine learning approach
De Lombaerde, Philippe, (2021)
- More ...
-
On the optimal size and composition of customs unions : an evolutionary approach
Saber, Takfarinas, (2023)
-
Evaluating accession decisions in customs unions : a dynamic machine learning approach
Naeher, Dominik, (2024)
-
Regional integration clusters and optimum customs unions : a machine-learning approach
De Lombaerde, Philippe, (2021)
- More ...