(Enter summary)
Abstract: Logical Bayesian Networks (LBNs) have recently been introduced
as another language for knowledge based model construction
of Bayesian networks, besides existing languages such as Probabilistic
Relational Models (PRMs) and Bayesian Logic Programs (BLPs). The
original description of LBNs introduces them as a variant of BLPs and
discusses the di#erences with BLPs but still leaves room for a deeper
discussion of the relationship between LBNs and BLPs. Also the relationship
to PRMs was not... (Update)
Cited by: More
A Comparison of Approaches for Learning.. - Fierens, Ramon.. (2005)
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BibTeX entry: (Update)
D. Fierens, H. Blockeel, M. Bruynooghe, and J. Ramon. Logical Bayesian Networks and their relation to other probabilistic logical models. In Proceedings of 15th International Conference on Inductive Logic Pogramming (ILP-05), 2005. http://citeseer.ist.psu.edu/fierens05logical.html More
@misc{ fierens05logical,
author = "D. Fierens and H. Blockeel and M. Bruynooghe and J. Ramon",
title = "Logical Bayesian Networks and their relation to other probabilistic logical
models",
text = "D. Fierens, H. Blockeel, M. Bruynooghe, and J. Ramon. Logical Bayesian
Networks and their relation to other probabilistic logical models. In Proceedings
of 15th International Conference on Inductive Logic Pogramming (ILP-05),
2005.",
year = "2005",
url = "citeseer.ist.psu.edu/fierens05logical.html" }
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