Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages

Author:

Batishcheva Vita,Potapov Alexey

Publisher

Springer International Publishing

Reference12 articles.

1. Potapov, A., Rodionov, S., Myasnikov, A., Begimov, G.: Cognitive Bias for Universal Algorithmic Intelligence (2012). arXiv:1209.4290v1 [cs.AI]

2. Goodman, N.D., Mansinghka, V.K., Roy, D.M., Bonawitz, K., Tenenbaum, J.B.: Church: a language for generative models (2008). arXiv:1206.3255 [cs.PL]

3. Minka, T., Winn, J.M., Guiver, J.P., Knowles, D.: Infer.NET 2.4. Microsoft Research Camb. (2010). http://research.microsoft.com/infernet

4. Koller, D., McAllester, D.A., Pfeffer, A.: Effective Bayesian inference for stochastic programs. Proc. National Conference on Artificial Intelligence (AAAI), pp. 740–747 (1997)

5. Stuhlmüller, A., Goodman, N.D.: A dynamic programming algorithm for inference in recursive probabilistic programs (2012). arXiv:1206.3555 [cs.AI]

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