A machine learning approach for the operationalization of latent classes in a discrete shipment size choice model
Raphael Piendl, Tilman Matteis, Gernot Liedtke
| Year of publication: |
2019
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|---|---|
| Authors: | Piendl, Raphael ; Matteis, Tilman ; Liedtke, Gernot |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 121.2019, p. 149-161
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| Subject: | Freight transport | Shipment size | Latent class analysis | Machine learning | Bayesian classification | Künstliche Intelligenz | Artificial intelligence | Güterverkehr | Theorie | Theory | Klassifikation | Classification |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2018.03.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011994947