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Found 92 Documents (Results 1–92)

Solving trajectory optimization problems by influence diagrams. (English) Zbl 1491.68243

Antonucci, Alessandro (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 14th European conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10369, 146-155 (2017).
MSC:  68T37 49M20 62H22
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Variable elimination for interval-valued influence diagrams. (English) Zbl 1465.68249

Destercke, Sébastien (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 13th European conference, ECSQARU 2015, Compiègne, France, July 15–17, 2015. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 9161, 541-551 (2015).
MSC:  68T37 62H22
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On SPI for evaluating influence diagrams. (English) Zbl 1419.68091

Laurent, Anne (ed.) et al., Information processing and management of uncertainty in knowledge-based systems. 15th international conference, IPMU 2014, Montpellier, France, July 15–19, 2014. Proceedings. Part I. Cham: Springer. Commun. Comput. Inf. Sci. 442, 506-516 (2014).
MSC:  68T20
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Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. (English) Zbl 1450.62063

van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8754, 318-333 (2014).
MSC:  62H22 62M45
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On SPI-lazy evaluation of influence diagrams. (English) Zbl 1351.68281

van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer (ISBN 978-3-319-11432-3/pbk). Lecture Notes in Computer Science 8754. Lecture Notes in Artificial Intelligence, 97-112 (2014).
MSC:  68T37 62C10 68T20
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Junction tree factored particle inference algorithm for multi-agent dynamic influence diagrams. (English) Zbl 1248.68424

Deng, Xiaotie (ed.) et al., Frontiers in algorithmics. Third international workshop, FAW 2009, Hefei, China, June 20–23, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02269-2/pbk). Lecture Notes in Computer Science 5598, 228-236 (2009).
MSC:  68T05 68T42
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Applying numerical trees to evaluate asymmetric decision problems. (English) Zbl 1274.68526

Nielsen, Thomas Dyhre (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 7th European conference, ECSQARU 2003, Aalborg, Denmark, July 2–5, 2003. Proceedings. Berlin: Springer (ISBN 3-540-40494-5/pbk). Lect. Notes Comput. Sci. 2711, 196-207 (2003).
MSC:  68T37
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A Bayesian approach to imprecision in belief nets. (English) Zbl 0840.62005

Mammitzsch, Volker (ed.) et al., Proceedings of the 2nd Gauss symposium. Conference B: Statistical sciences, Munich, Germany, August 2-7, 1993. Berlin: Walter de Gruyter. Symposia Gaussiana. 91-105 (1995).
MSC:  62A01
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Wigmore diagrams and Bayes networks. (English) Zbl 0819.62101

Mohammad-Djafari, A. (ed.) et al., Maximum entropy and Bayesian methods: Proceedings of the twelfth international workshop on maximum entropy and Bayesian methods held in Paris, France, July 19-24, 1992. Dordrecht: Kluwer Academic Publishers. Fundam. Theor. Phys. 53, 93-98 (1993).
MSC:  62P99 62C99
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A new method for representing and solving Bayesian decision problems. (English) Zbl 0789.62008

Dutta, Bhaskar (ed.) et al., Game theory and economic applications. Proceedings of the international conference held at the Indian Statistical Institute, New Dehli, India, December 18-22, 1990. Berlin: Springer-Verlag. Lect. Notes Econ. Math. Syst. 389, 37-68 (1992).
MSC:  62C10 90B50
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Decomposable probabilistic influence diagrams. (English) Zbl 0766.60012

Reliability of computer and communication networks, Proc. Workshop, New Brunswick, NJ/USA 1989, DIMACS Ser. Discret. Math. Theor. Comput. Sci. 5, 79-90 (1991).
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