Recursive Bayesian Networks
The Python rbnet package providing implementations of Recursive Bayesian Networks.
Lieck R, Rohrmeier M (2021) Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. In: Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
@inproceedings{lieck2021RBN,
title = {Recursive {{Bayesian Networks}}: Generalising and {{Unifying Probabilistic Context}}-{{Free Grammars}} and {{Dynamic Bayesian Networks}}},
booktitle = {Proceedings of the 35th {{Conference}} on {{Neural Information Processing Systems}} ({{NeurIPS}} 2021)},
author = {Lieck, Robert and Rohrmeier, Martin},
year = {2021},
}
If you are looking for the code to reproduce the results from the NeurIPS 2021 paper, have a look at the NeurIPS 2021 branch with or without data.
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Metadata
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Release files for rbnet 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rbnet-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for rbnet-0.0.1-py3-none-any.whl |
Total release size: 53.9 kB
Release files / rbnet-0.0.1.tar.gz
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