Abstract
This paper proposes a new approach for computing probabilities of events in Bayesian networks. The idea is to replace the outward phase of the propagation algorithm by a second (partial) inward propagation phase. The benefit of this idea is that the attention can be focussed on optimizing the inward phase.1
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Haenni, R., Kohlas, J., Lehmann, N. (2002). Computing Probabilities of Events in Bayesian Networks. In: Bouchon-Meunier, B., Gutiérrez-Ríos, J., Magdalena, L., Yager, R.R. (eds) Technologies for Constructing Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 90. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1796-6_24
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DOI: https://doi.org/10.1007/978-3-7908-1796-6_24
Publisher Name: Physica, Heidelberg
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