Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping

Nils Finke, Marcel Gehrke, Tanya Braun, Tristan Potten, Ralf Möller
Proceedings of the 10th International Conference on Probabilistic Graphical Models, PMLR 138:197-208, 2020.

Abstract

Dry-bulk shipping is crucial for a functioning global trade economy. Thus, additional research is highly relevant to further improve bulk shipping operations. Dry-bulk shipping involves many entities interacting with each other in an uncertain environment that changes over time. To assist dry-bulk vessel operators in how to position their vessels, efficient query answering and decision support is necessary. Therefore, we investigate existing modelling formalism and inference algorithms regarding which aspects of dry-bulk shipping are already realisable. Although not all challenges are already well-understood, we show that a lifted dynamic approach tackles most of the challenges involved in handling dry-bulk shipping.

Cite this Paper

BibTeX
@InProceedings{pmlr-v138-finke20a, title = {Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping}, author = {Finke, Nils and Gehrke, Marcel and Braun, Tanya and Potten, Tristan and M\"oller, Ralf}, booktitle = {Proceedings of the 10th International Conference on Probabilistic Graphical Models}, pages = {197--208}, year = {2020}, editor = {Jaeger, Manfred and Nielsen, Thomas Dyhre}, volume = {138}, series = {Proceedings of Machine Learning Research}, month = {23--25 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v138/finke20a/finke20a.pdf}, url = {https://proceedings.mlr.press/v138/finke20a.html}, abstract = {Dry-bulk shipping is crucial for a functioning global trade economy. Thus, additional research is highly relevant to further improve bulk shipping operations. Dry-bulk shipping involves many entities interacting with each other in an uncertain environment that changes over time. To assist dry-bulk vessel operators in how to position their vessels, efficient query answering and decision support is necessary. Therefore, we investigate existing modelling formalism and inference algorithms regarding which aspects of dry-bulk shipping are already realisable. Although not all challenges are already well-understood, we show that a lifted dynamic approach tackles most of the challenges involved in handling dry-bulk shipping.} }
Endnote
%0 Conference Paper %T Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping %A Nils Finke %A Marcel Gehrke %A Tanya Braun %A Tristan Potten %A Ralf Möller %B Proceedings of the 10th International Conference on Probabilistic Graphical Models %C Proceedings of Machine Learning Research %D 2020 %E Manfred Jaeger %E Thomas Dyhre Nielsen %F pmlr-v138-finke20a %I PMLR %P 197--208 %U https://proceedings.mlr.press/v138/finke20a.html %V 138 %X Dry-bulk shipping is crucial for a functioning global trade economy. Thus, additional research is highly relevant to further improve bulk shipping operations. Dry-bulk shipping involves many entities interacting with each other in an uncertain environment that changes over time. To assist dry-bulk vessel operators in how to position their vessels, efficient query answering and decision support is necessary. Therefore, we investigate existing modelling formalism and inference algorithms regarding which aspects of dry-bulk shipping are already realisable. Although not all challenges are already well-understood, we show that a lifted dynamic approach tackles most of the challenges involved in handling dry-bulk shipping.
APA
Finke, N., Gehrke, M., Braun, T., Potten, T. & Möller, R.. (2020). Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping. Proceedings of the 10th International Conference on Probabilistic Graphical Models, in Proceedings of Machine Learning Research 138:197-208 Available from https://proceedings.mlr.press/v138/finke20a.html.

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