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Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models (2005)  (Make Corrections)  (1 citation)
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon



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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)   (Correct)

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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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