Soft quantification in statistical relational learning

Author:

Farnadi Golnoosh,Bach Stephen H.,Moens Marie-Francine,Getoor Lise,De Cock Martine

Funder

National Science Foundation

SBO-program of the Flemish Agency for In-novation by Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference44 articles.

1. Alshukaili, D., Fernandes, A. A. A., & Paton, N. W. (2016). Structuring linked data search results using probabilistic soft logic. In International semantic web conference (ISWC).

2. Bach, S. H., Broecheler, M., Huang, B., & Getoor, L. (2015). Hinge-loss Markov random fields and probabilistic soft logic. arXiv:1505.04406 [cs.LG].

3. Bach, S. H., Huang, B., London, B., & Getoor, L. (2013). Hinge-loss Markov random fields: Convex inference for structured prediction. In Proceedings of the Uncertainty in Artificial Intelligence (UAI).

4. Bastian, M., Sebastien, H., & Mathieu, J. (2009). Gephi: An open source software for exploring and manipulating networks. In Proceedings of the international AAAI conference on web and social media (ICWSM) (pp. 361–362).

5. Beltagy, I., & Erk, K. (2015). On the proper treatment of quantifiers in probabilistic logic semantics. In Proceedings of the 11th international conference on computational semantics (IWCS) (p. 140).

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