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publications by dr. ir. J.H. Bolt

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dr. ir. J.H. Bolt

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some publications

Bolt, J.H. & Gaag, L.C. van der (2012). Multi-dimensional Classification with Naive Bayesian Network Classifiers. In J.W.H.M. Uiterwijk, N. Roos & M.H.M. Wijnands (Eds.), Proceedings of the 24th Benelux Conference on Artificial Intelligence (pp. 27-34).

Bolt, J.H. & Gaag, L.C. van der (2010). An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. In E. Huellermeier, R. Kruse & F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 11-20). Springer.

Gaag, L.C. van der, Bolt, J.H., Loeffen, W.L.A. & Elbers, A.R.W. (2010). Modelling patterns of evidence in Bayesian networks: a case-study in Classical Swine Fever. In Computational Intelligence for Knowledge-based Systems Design, Vol. 6178. Lecture Notes in Artificial Intelligence (pp. 675-684). New York: Springer.

Bolt, J.H. (2009). Bayesian Networks: the parental synergy and the prior convergence error. In R. Serra & R. Cucchiara (Eds.), Proceedings of the eleventh Congress of the Italian Association for Artificial Intelligence (pp. 1-10).

Bolt, J.H. (2009). Bayesian networks: the range of the prior convergence error. In T. Calders, K. Tuyls & M. Pechenizkiy (Eds.), Prodeedings of BNAIC 2009, the twentyfirst Belgian-Dutch Artificial Intelligence Conference (pp. 35-42).

Bolt, J.H. (2008, April 21). Bayesian Networks: Aspects of Approximate Inference. UU Universiteit Utrecht (133 pag.) (Utrecht: Utrecht University). Prom./coprom.: prof. dr. ir. L.C. van der Gaag.

Bolt, J.H. (2008). Bayesian networks: the parental synergy. In M. Jaeger & T.D. Nielsen (Eds.), Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (pp. 33-40).

Bolt, J.H. & Gaag, L.C. van der (2008). Loopy propagation: the posterior error at convergence nodes. In M..Poel A. Nijholt & G.H.W. Hondorp (Eds.), Prodeedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intellgence Conference (pp. 33-40).

Bolt, J.H. & Gaag, L.C. van der (2007). Decisiveness in loopy propagation. In P. Lucas, J.A. Gámez & A. Salmeron (Eds.), Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing, 214) (pp. 153-173). Berlin: Springer.

Bolt, J.H. & Gaag, L.C. van der (2006). Descisiveness in Loopy Propagation. (UU-CS2006-005 ). onbekend: UU WINFI Informatica en Informatiekunde.

Bolt, J.H., Gaag, L.C. van der & Renooij, S. (2005). Introducing situational signs in qualitative probabilistic networks. International Journal of Approximate Reasoning, 38, 333-354.

Bolt, J.H. & Gaag, L.C. van der (2004). Decisiveness in loopy propagation. In P. Lucas (Ed.), Proceedings of the Second European Workshop on Probabilistic Graphical Models (pp. 25-32).

Bolt, J.H., Gaag, L.C. van der & Renooij, S. (2004). Introducing Situational Signs in Qualitative Probabilistic Networks. (UU-CS2004-006 ). Utrecht: Utrecht University: Information and Computing Sciences.

Bolt, J.H. & Gaag, L.C. van der (2004). On the convergence error in loopy propagation. In R. Verbrugge, N. Taatgen & L. Schomaker (Eds.), Proceedings of the Sixteenth Belgium-Netherlands Conference on Artificial Intelligence (pp. 267-274).

Bolt, J.H. & Gaag, L.C. van der (2004). The convergence error in loopy propagation. In International Conference on Advances in Intelligent Systems - Theory and Applications. IEEE Computer Society.

Gaag, L.C. van der, Bolt, J.H. & Renooij, S. (2004). The practicability of situational signs for QPNs. In Proceedings of the Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 1691-1698). Perugia,Italy.

Bolt, J.H., Gaag, L.C. van der & Renooij, S. (2003). Introducing situational influences in QPNs. In T.D. Nielsen & N.L. Zhang (Eds.), Proceedings of the Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence (pp. 113-124). Berlin: Springer-Verlag.

Bolt, J.H., Renooij, S. & Gaag, L.C. van der (2003). Upgrading ambiguous signs in QPNs. In C. Meek & U. Kjaerulff (Eds.), Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (pp. 73-80). San Francisco, California: Morgan Kaufmann Publishers.