Toward New Evaluation Metrics for Relational Learning

Author:

Ben Ishak Mouna

Publisher

Springer Singapore

Reference44 articles.

1. Heckerman, D., Meek, C., Koller, D.: Probabilistic entity-relationship models, PRMs, and plate models. In: Getoor, L., Taskar, B. (eds.) Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA (2007)

2. Lavrac, N., Dzeroski, S.: Inductive Logic Programming: Techniques and Applications. Routledge, New York (1993)

3. De Raedt, L.: Attribute-value learning versus inductive logic programming: the missing links. In: Proceedings of the Eighth International Conference on Inductive Logic Programming, pp. 1–8 (1998)

4. Pearl, J.: Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, San Francisco (1988)

5. Heckerman, D., Chickering, D.M., Meek, C., Rounthwaite, R., Kadiel, C.: Dependency networks for inference, collaborative filtering, and data visualization. J. Mach. Learn. Res. 1, 49–75 (2001)

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