Search results
Results: 14
Number of items: 14
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Pavlin, G., de Oude, P., Maris, M., Nunnink, J., & Hood, T. (2010). A multi-agent systems approach to distributed bayesian information fusion. Information Fusion, 11(3), 267-282. https://doi.org/10.1016/j.inffus.2009.09.007
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Pavlin, G., de Oude, P., Maris, M. G., Nunnink, J. R. J., & Hood, T. (2007). A Distributed Approach to Information Fusion Systems Based on Causal Probabilistic Models. (IAS-UVA-07-03). Informatics Institute. http://www.science.uva.nl/research/isla/pub/IAS-UVA-07-03.pdf
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Verbeek, J. J., Nunnink, J. R. J., & Vlassis, N. (2006). Accelerated EM-based clustering of large data sets. Data Mining and Knowledge Discovery, 13(3), 291-307. https://doi.org/10.1007/s10618-005-0033-3
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Nunnink, J., & Pavlin, G. (2005). Accuracy of Sequential Bayesian Information Fusion. In M. H. Hamza (Ed.), Proceedings of the IASTED International Conference on Artficial Intelligence and Applications: February 14-16, 2005, Innsbruck, Austria : As part of the 23rd IASTED International Multi-Conference on Applied Informatics (pp. 545-550). ACTA Press.
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Nunnink, J. R. J., & Pavlin, G. (2005). A probabilistic approach to resource allocation in distributed fusion systems. In AAMAS 05 : the fourth International Joint Conference on Autonomous Agents and Multi Agent Systems: Utrecht University, the Netherlands, July 25-29, 2005 (pp. 846-852). ACM Press. https://doi.org/10.1145/1082473.1082602
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