Learning Probabilistic Relational Models Using an Ontology of Transformation Processes

Author:

Munch Melanie,Wuillemin Pierre-Henri,Manfredotti Cristina,Dibie Juliette,Dervaux Stephane

Publisher

Springer International Publishing

Reference16 articles.

1. Ben Ishak, M., Leray, P., Ben Amor, N.: Ontology-based generation of object oriented Bayesian networks. In: BMAW 2011, Spain, pp. 9–17 (2011). https://hal.archives-ouvertes.fr/hal-00644992

2. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)

3. Cutic, D., Gini, G.: Creating causal representations from ontologies and Bayesian networks. In: Arai, Gini, P.E. (eds.) Proceedings of Workshop NRF- IAS, Venice, Italy, pp. 1–12, 18–19th July 2014. http://home.deib.polimi.it/gini/papers/2014NFR.pdf

4. Ettouzi, N., Leray, P., Messaoud, M.B.: An exact approach to learning probabilistic relational model. In: Antonucci, A., Corani, G., Campos, C.P. (eds.) Proceedings of the Eighth International Conference on Probabilistic Graphical Models, pp. 171–182 (2016)

5. Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Dean, T. (ed.) Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI 1999, Stockholm, Sweden, 31 July–6 August 1999, vol. 2, pp. 1300–1309, 1450 pages. Morgan Kaufmann (1999). http://ijcai.org/Proceedings/99-2/Papers/090.pdf

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