Extending ProbLog with Continuous Distributions

Author:

Gutmann Bernd,Jaeger Manfred,De Raedt Luc

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Lecture Notes in Artificial Intelligence;J. Vennekens,2006

2. Sato, T.: A statistical learning method for logic programs with distribution semantics. In: Sterling, L. (ed.) Proceedings of the Twelfth International Conference on Logic Programming (ICLP 1995), pp. 715–729. MIT Press, Cambridge (1995)

3. Milch, B., Marthi, B., Russell, S.J., Sontag, D., Ong, D.L., Kolobov, A.: Blog: Probabilistic models with unknown objects. In: Kaelbling, L.P., Saffiotti, A. (eds.) IJCAI 2005: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, pp. 1352–1359. Professional Book Center (2005)

4. Goodman, N., Mansinghka, V.K., Roy, D.M., Bonawitz, K., Tenenbaum, J.B.: Church: a language for generative models. In: McAllester, D.A., Myllymäki, P. (eds.) UAI 2008: Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, July 9-12, pp. 220–229. AUAI Press, Helsinki (2008)

5. Bryant, R.E.: Graph-based algorithms for boolean function manipulation. IEEE Transactions on Computers 35(8), 677–691 (1986)

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