All publications sorted by title
P
Rudolf Kruse and K. D. Meyer, Parametric Statistics in the Presence of Vague Data, in: Proc. of the Second IFSA Congress, 1987
Aljoscha Klose, Partially Supervised Learning of Fuzzy Classification Rules, Otto-von-Guericke-Universität Magdeburg, 2004
Rudolf Kruse, Jörg Gebhardt, Frank Rügheimer and Heinz Detmer, Planning with Graphical Models, in: Proc. of the 2006 Conference on COGnitive systems with Interactive Sensors (COGIS'06), Paris, France, 2006
Frank Rehm, Frank Klawonn and Rudolf Kruse, POLARMAP - Efficient Visualisation of High Dimensional Data (2006), in: Proceedings of the conference on Information Visualization(731--740) attachment
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Possibilistic Graphical Models, in: Proc. ISSEK'98 (Udine, Italy), 1998
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000
J. Beckmann, Jörg Gebhardt, Frank Klawonn and Rudolf Kruse, Possibilistic Inference and Data Fusion, in: Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT'94), pages 46--47, 1994
Christian Borgelt and Rudolf Kruse, Possibilistic Networks with Local Structure, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen, Germany), pages 634--638, Verlag Mainz, 1998
Christian Borgelt and Rudolf Kruse, Possibilistic Networks: Data Mining Applications, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen Germany), pages 603--607, Verlag Mainz, 1998
Jörg Gebhardt and Rudolf Kruse, Possibilistische graphische Modelle, pages 55--69, Vieweg, Modellbildung und Simulation im Umweltbereich, 1997
Jörg Gebhardt and Rudolf Kruse, POSSINFER - A Software Tool for Possibilistic Inference, pages 407--418, Wiley, Fuzzy Set Methods in Information Engineering - A Guided Tour of, 1996
Mirko Böttcher, Martin Spott and Rudolf Kruse, Predicting Future Decision Trees from Evolving Data, in: Proceedings of ICDM '08, Pisa, Italy, pages 33--42, IEEE Computer Society, 2008 attachment
Marie-Jeanne Lesot, Frank Rehm, Frank Klawonn and Rudolf Kruse, Prediction of Aircraft Flight Duration, in: Proceedings of the 11th IFAC Symposium on Control in Transportation Systems, Delft, Netherlands, 2006
Preferences and Similarities, Springer, CISM International Centre for Mechanical Sciences, 2008
Christian Borgelt and Rudolf Kruse, Probabilistic and Possibilistic Networks and How to Learn Them from Data, in: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, pages 403--426, Springer-Verlag, 1998
Christian Borgelt and Rudolf Kruse, Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits, in: Proc. 8th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'05, Barcelona, Spain), pages 100--110, Springer-Verlag, 2005
Christian Borgelt, Heiko Timm and Rudolf Kruse, Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, in: Computational Intelligence in Theory and Practice, pages 121--138, Physica-Verlag, 2001
Christian Borgelt and Rudolf Kruse, Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000
Rudolf Kruse, Probabilistische Mengen (1984), in: Wiss. Abh. der Braunschweigischen wissenschaftlichen Gesellschaft, 36(7--13)
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Problems and Prospects in Fuzzy Data Analysis, in: Soft Computing and Intelligent Systems: Prospects, Tools and Applications, pages 95--109, Springer-Verlag, 2000
Roland Winkler, Frank Klawonn and Rudolf Kruse, Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets, pages 79-87, Springer, Studies in Classification, Data Analysis, and Knowledge Organization, 2012 attachment
Rudolf Kruse and E. Schwecke, Propagation von Unschärfe, in: Informatik-Fachbericht, TU Braunschweig, 1987
Q
Qualitative and Quantitative Practical Reasoning: ECSQARU/FAPR'97, Springer, Lecture Notes in Artificial Intelligence, volume 1244, 1997
R
Jörg Gebhardt and Rudolf Kruse, Reasoning and Learning in Probabilistic and Possibilistic Networks, in: Machine Learning: {ECML95}, Lecture Notes in Artificial Intelligence, pages 3--16, Springer, 1995
Detlef Nauck, Frank Klawonn, Rudolf Kruse and U. Lohs, Reasoning under Uncertainty with Temporal Aspects, pages 572--580, Springer, Industrial and Engineering Application of Artificial Intelligenc, 1992
Rudolf Kruse, Frank Klawonn and Detlef Nauck, Reasoning with Mass Distributions, in: Uncertainty in Artificial Intelligence, Proc.7th Conference on Uncertainty in Artificial Intelligence, pages 182--187, 1991 attachment
Rudolf Kruse, Jörg Gebhardt and Frank Klawonn, Reasoning with Mass Distributions and the Context Model, in: Symbolic and Quantitative Approaches to Uncertainty, Springer Verlag, 1991