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Rudolf Kruse
First name(s): Rudolf
Last name(s): Kruse

Keywords:

Publications of Rudolf Kruse sorted by title
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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
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Qualitative and Quantitative Practical Reasoning: ECSQARU/FAPR'97, Springer, Lecture Notes in Artificial Intelligence, volume 1244, 1997
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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
Georg Ruß and Rudolf Kruse, Regression Models for Spatial Data: An Example from Precision Agriculture, in: Advances in Data Mining. Applications and Theoretical Aspects, pages 450--463, Springer, 2010 attachment
Georg Ruß, Rudolf Kruse, Detlef Nauck and Mirko Böttcher, Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval, in: Research and Development in Intelligent Systems, BCS SGAI, Cambridge, pages 253--266, Springer, 2008 attachment
Georg Ruß, Mirko Böttcher and Rudolf Kruse, Relevance Feedback for Association Rules using Fuzzy Score Aggregation, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 54--59, 2007 attachment
Christoph Reichert, M Kennel, Rudolf Kruse, Hans-Jochen Heinze, U. Schmucker, Hermann Hinrichs and Jochem W. Rieger, Robotic Grasp Initiation by Gaze Independent Brain Controlled Selection of Virtual Reality Objects., in: NEUROTECHNIX 2013 - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, pages 5-12, SCITEPRESS Digital Library, 2013
Frank Rehm, Frank Klawonn and Rudolf Kruse, Rule Classification Visualization of High-Dimensional Data, in: Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-06), 2006 attachment
Detlef Nauck and Rudolf Kruse, Rule Weights in Fuzzy Systems, in: Fuzzy-Neuro Systems '98 - Computational Intelligence, Proc. 5th International Workshop (FNS'98), 1998
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Rudolf Kruse, Schätzfunktionen für Parameter von unscharfen Zufallsvariablen, Technische Universität Carolo-Wilhelmina zu Braunschweig, 1983
Christian Borgelt and Rudolf Kruse, Section 3.4: Artificial Intelligence Methods, in: CIGR Handbook of Agricultural Engineering Volume VI: Information Technology, pages 153--168, American Society of Agricultural and Biological Engineers (ASABE), 2006
J. Grabmeier, J. Buhmann, Rudolf Kruse and Heiko Timm, Segmentierende und clusterbildende Methoden, pages 299-353, Vieweg, Handbuch Data Mining im Marketing. Knowledge Discovery in Market, 2001
Aljoscha Klose and Rudolf Kruse, Semi-supervised learning in knowledge discovery (2005), in: Fuzzy Sets and Systems, 149(209--233) attachment
M. Schröder and Rudolf Kruse, Sequential Optimization of Characteristic Mappings by Means of Genetic Algorithms, in: Proceedings of the 6th International Fuzzy Systems Association, 1995
Christian Borgelt and Rudolf Kruse, Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering, in: Proc.\ 8th European Conf.\ on Principles and Practice of Knowledge Discovery in Databases (PKDD 2004, Pisa, Italy), pages 52--62, Springer-Verlag, 2004 attachment
Frank Klawonn and Rudolf Kruse, Similarity Relations and Independence Concepts, in: Preferences and Similarities, pages 179-196, Springer, 2008
Christian Moewes, Clemens Otte and Rudolf Kruse, Simple Machine Learning Approaches to Safety-Related Systems, in: Machine Interpretation of Patterns: Image Analysis and Data Mining, pages 231--249, World Scientific Publishing Co. Inc., 2010
Frank Rehm, Frank Klawonn and Rudolf Kruse, Single Cluster Visualization to Optimize Air Traffic Management, in: Advances in Data Analysis, pages 319--325, Springer, 2007
Rudolf Kruse, Soft Computing for Information Mining, in: Workshop-Proceedings 27th German Conference on Artificial Intelligence, 2004