Possibilistic Graphical Models

Author:

Borgelt C.,Gebhardt J.,Kruse R.

Publisher

Springer Vienna

Reference57 articles.

1. S.K. Andersen, K.G. Olesen, F.V. Jensen, and F. Jensen. HUGIN — A Shell for Building Bayesian Belief Universes for Expert Systems. Proc. 11th Int. J. Conf. on Artificial Intelligence (IJCAI’89, Detroit, MI, USA), 1080–1085. Morgan Kaufman, San Mateo, CA, USA 1989

2. J. Beckmann, J. Gebhardt, and R. Kruse. Possibilistic Inference and Data Fusion. Proc. 2nd European Congress on Fuzzy and Intelligent Technologies (EUFIT’94, Aachen, Germany). 46–47. Verlag Mainz, Aachen, Germany 1994

3. C. Borgelt and R. Kruse. Evaluation Measures for Learning Probabilistic and Possibilistic Networks. Proc. 6th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE’97, Barcelona, Spain), Vol. 2:1034–1038. IEEE Press, Piscataway, NJ, USA 1997

4. C. Borgelt and R. Kruse. Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. Proc. 1st Int. J. Conf. on Qualitative and Quantitative Practical Reasoning (ECSQARU/FAPR’97, Bad Honnef, Germany), 71–85. Springer, Berlin, Germany 1997

5. C. Borgelt and R. Kruse. Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions. Proc. 7th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE’98, Anchorage, Alaska, USA), IEEE Press, Piscataway, NJ, USA 1997

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