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Results: 38
Number of items: 38
  • Grappiolo, C., Whiteson, S., Pavlin, G., & Bakker, B. (2009). Integrating distributed Bayesian inference and reinforcement learning for sensor management. In 12th International Conference on Information Fusion (FUSION 2009): Seattle, Washington, USA, 6 - 9 July 2009 (pp. 93-101). IEEE. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5203741
  • de Oude, P., & Pavlin, G. (2009). Dependence discovery in modular Bayesian networks. (IAS technical reports; No. IAS-UVA-09-02). Informatics Institute. http://www.science.uva.nl/research/isla/pub/IAS-UVA-09-02.pdf
  • Open Access
    Nunnink, J. R. J. (2008). Accuracy and robustness of learning and inference in Bayesian networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    de Oude, P., & Pavlin, G. (2008). An information theoretic approach to verification of modular Bayesian fusion systems. In Fusion 2008: Proceedings of the 11th International Conference on Information Fusion: Cologne, Germany, June 30 -July 03, 2008 (pp. 1027-1034). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIF.2008.4632323
  • Groen, F. C. A., Spaan, M. T. J., Kok, J. R., & Pavlin, G. (2007). Real-World Multi-agent Systems: Information Sharing, Coordination and Planning. In B. D. ten Cate, & H. J. Zeevat (Eds.), Logic,Language and Computation, LNAI 4363 (pp. 154-165). Springer Verlag. http://www.science.uva.nl/research/isla/pub/Groen0406-Gregor.pdf
  • 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
  • de Oude, P., Pavlin, G., & Hood, T. (2007). A Modular Approach to Adaptive Bayesian Information Fusion. In The 10th International Conference on Information Fusion (pp. 1-8). http://www.science.uva.nl/research/isla/pub/Oude07icif.pdf
  • Pavlin, G., Maris, M. G., & Groen, F. C. A. (2007). Causal Bayesian Networks for Robust and Efficient Fusion of Information Obtained from Sensors and Humans. In In Proceedings of the Instrumentation and Measurement Technology Conference (pp. 1-6).
  • Nunnink, J. R. J., & Pavlin, G. (2006). Fault localization in bayesian networks. (IAS-UVA-06-03). Informatics Institute.
  • Pavlin, G., Nunnink, J. R. J., & Groen, F. C. A. (2006). Inference meta models: A new perspective on belief propagation with bayesian networks. (IAS-UVA-06-01). Informatics Institute.
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