Probabilistic decision graphs for optimization under uncertainty

Author:

Jensen Finn V.,Nielsen Thomas Dyhre

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference62 articles.

1. Ahlmann-Ohlsen, K. S., Jensen, F. V., Nielsen, T. D., Pedersen, O., & Vomlelova, M. (2009). A comparison of two approaches for solving unconstrained influence diagrams. International Journal of Approximate Reasoning, 50, 153–173.

2. Bhattacharjya, D., & Shachter, R. D. (2007). Evaluating influence diagrams with decision circuits. In Proceedings of the twenty-third conference on uncertainty in artificial intelligence (UAI) (pp. 9–16).

3. Bhattacharjya, D., & Shachter, R. D. (2008). Sensitivity analysis in decision circuits. In Proceedings of the twenty-fourth conference on uncertainty in artificial intelligence (UAI) (pp. 34–42).

4. Lecture notes in statistics;C. Bielza,2000

5. Cano, A., Gómez, M., & Moral, S. (2006). A forward-backward Monte Carlo method for solving influence diagrams. International Journal of Approximate Reasoning, 42(1–2), 119–135.

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