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[Frankel et al. 2007] J. Frankel, M. Webster, and S. King. Articulatory Feature Recognition using Dynamic Bayesian Networks. Computer Speech and Language 21(4):620 640. Elsevier Science, Amsterdam, Netherlands 2007 [Fredkin and Toffoli 1982] E. Fredkin and T. Toffoli. Conservative Logic. Int. Journal of Theoretical Physics 21(3/4):219 253. Plenum Press, New York, NY, USA 1982 [Freedman et al. 2007] D. Freedman, R. Pisani, and R. Purves. Statistics (4th ed.). W.W. Norton, New York, NY, USA 2007 [Friedman and Goldszmidt 1996] N. Friedman and M. Goldszmidt. Building Classifiers using Bayesian Networks. Proc. 13th Nat. Conf. on Artificial Intelligence (AAAI 96, Portland, OR, USA), 1277 1284. AAAI Press, Menlo Park, CA, USA 1996 [Friedman and Goldszmidt 1998] N. Friedman and M. Goldszmidt. Learning Bayesian Networks with Local Structure. In: [Jordan 1998], 423 460. [Froidevaux and Kohlas 1995] C. Froidevaux and J. Kohlas, eds. Symbolic and Quantitative Approaches to Reasoning and Uncertainty (LNCS 946). Springer-Verlag, Berlin, Germany 1995 [Frydenberg 1990] M. Frydenberg. The Chain Graph Markov Property. Scandinavian Journal of Statistics 17:333 353. Swets & Zeitlinger, Amsterdam, Netherlands 1990 [Gabbay and Kruse 2000] D. Gabbay and R. Kruse, eds. DRUMS Handbook on Abduction and Learning. Kluwer, Dordrecht, Netherlands 2000 [Gamez et al. 2004] J.A. Gamez, S. Moral, and A. Salmeron. Advances in Bayesian Networks. Springer, Berlin, Germany 2004 [Gath and Geva 1989] I. Gath and A.B. Geva. Unsupervised Optimal Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intelligence 11:773 781. IEEE Press, Piscataway, NJ, USA 1989 [Gebhardt 1997] J. Gebhardt. Learning from Data: Possibilistic Graphical Models. Habilitation Thesis, University of Braunschweig, Germany 1997 [Gebhardt 1999] J. Gebhardt. EPL (Planung und Steuerung von Fahrzeugen, Eigenschaften und Teilen) Detailmodellierung, Methoden und Verfahren. ISC Gebhardt and Volkswagen AG, K-DOB-11 (internal report), Wolfsburg, Germany 1999 [Gebhardt and Kruse 1992] J. Gebhardt and R. Kruse. A Possibilistic Interpretation of Fuzzy Sets in the Context Model. Proc. 1st IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 92, San Diego, CA, USA), 1089-1096. IEEE Press, Piscataway, NJ, USA 1992 [Gebhardt and Kruse 1993a] J. Gebhardt and R. Kruse. A New Approach to Semantic Aspects of Possibilistic Reasoning. In: [Clarke et al. 1993], 151 160
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