Abstract
The use of the noisy-OR model is advocated throughout the literature as an approach to lightening the task of obtaining all probabilities required for a Bayesian network. Little evidence is available, however, as to the effects of using the model on a network’s performance. In this paper, we construct a noisy-OR version of a real-life hand-built Bayesian network of moderate size, and compare the performance of the original network with that of the constructed noisy-OR version. Empirical results from using the two networks on real-life data show that the performance of the original network does not degrade by using the noisy-OR model.
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Bolt, J.H., van der Gaag, L.C. (2010). An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_2
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DOI: https://doi.org/10.1007/978-3-642-14055-6_2
Publisher Name: Springer, Berlin, Heidelberg
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