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Abstract: Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem... (Update)
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BibTeX entry: (Update)
@misc{ yuan-importance,
author = "Changhe Yuan and Marek J. Druzdzel",
title = "An Importance Sampling Algorithm Based on Evidence Pre-Propagation",
booktitle = "Proceedings of the 19th Annual Conference on Uncertainty in Artificial
Intelligence (UAI03)",
url = "citeseer.ist.psu.edu/713590.html" }
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1 BN-AIS: An adaptive importance sampling algorithm for eviden.. (context) - Cheng, Druzdzel - 2000
1 Bayesian multivariate micro-aggregation under the Hellinger'.. - Kokolakis, Nanopoulos - 2001
Documents on the same site (http://www.sis.pitt.edu/~cyuan/):
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