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

Keywords:

Publications of Rudolf Kruse sorted by first author
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Jörg Gebhardt and Rudolf Kruse, Learning Possibilistic Networks from Data, in: Proc. 5th International Workshop on Artificial Intelligence and Statistics, pages 233--244, 1995
Jörg Gebhardt and Rudolf Kruse, Learning Possibilistic Networks from Data, in: Proceedings of FUZZ-IEEE / IFES '95, pages 1575--1580, 1995
Jörg Gebhardt and Rudolf Kruse, Learning Possibilistic Graphical Models, in: Proc. 3rd European Congress on Fuzzy and Intelligent Technologies (EUFIT'95), pages 74--76, 1995
Jörg Gebhardt and Rudolf Kruse, A Numerical Framework for Possibilistic Abduction, in: Proc. Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU ´94), 1994
Jörg Gebhardt and Rudolf Kruse, On an Information Compression View of Possibility Theory, in: Proc. 3rd IEEE Int. Conf. on Fuzzy Systems, IEEE, pages 1285--1288, 1994 attachment
Jörg Gebhardt and Rudolf Kruse, A Possibilistic Interpretation of Fuzzy Sets by the Context Model, in: Proc. IEEE International Conference on Fuzzy Systems, 1992
Jörg Gebhardt and Rudolf Kruse, Zur Interpretation von Fuzzy Controllern, in: Proc. VDE-Fachtagung Technische Anwendungen von Fuzzy Systemen, 1992
Jörg Gebhardt and Rudolf Kruse, An Integrating Model of Partial Ignorance, in: Proc. 4rd IFSA Conference, 1991
Jörg Gebhardt and Rudolf Kruse, An Integrating Model of Uncertainty and Vagueness, in: Proc. of the NAFIPS-91 Conference, 1991
Jörg Gebhardt and Rudolf Kruse, Information Source Modelling for Consistent Data Fusion, in: Proc. of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), pages 27--34, CSREA Press, 1998
Jörg Gebhardt and Rudolf Kruse, A New Approach to Semantical Aspects of Possibilistic Reasoning, in: Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Springer Verlag, 1993
Jörg Gebhardt and Rudolf Kruse, Discrete Graphical Models in Possibility Theory, in: Foundations and Applications of Possibility Theory (FAPT'95).World Scientific, Singapore, 1995
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
Jörg Gebhardt and Rudolf Kruse, Learning Possibilistic Networks from Data, pages 143--153, Springer, Learning from Data, Artificial Intelligence and Statistics 5, Le, volume 112, 1996
Jörg Gebhardt and Rudolf Kruse, Parallel combination of information sources, Kluwer, Handbook of Defeasible Reasoning and Uncertainty Management Syst, volume 1, 1997
Jörg Gebhardt, Rudolf Kruse and María Ángeles Gil, Fuzzy-set theoretic methods in statistics, Kluwer, Handbook on Fuzzy Sets, Kapitel 10, volume 5, 1997
Jörg Gebhardt, Rudolf Kruse and María Ángeles Gil, Fuzzy set-theoretic methods in statistics, pages 310--348, Kluwer Academic, Handbook of Fuzzy-Sets, 1998
Jörg Gebhardt and Rudolf Kruse, Possibilistische graphische Modelle, pages 55--69, Vieweg, Modellbildung und Simulation im Umweltbereich, 1997
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
Jörg Gebhardt, Rudolf Kruse, Clemens Otte and M. Schröder, A Fuzzy Idle Speed Controller, in: Proc. 26th International Symposium on Automotive Technology and Automation, 1993
Jörg Gebhardt and Rudolf Kruse, Statistische Untersuchungen anhand von vagen Daten, in: Operations Research Proceedings, 17te DGOR-Jahrestagung, Springer Verlag, 1988
Jörg Gebhardt and Rudolf Kruse, Some Notes on Possibilistic Learning, pages 23--32, Springer, Mathematical and Statistical Methods in Artificial Intelligence, 1995
Jörg Gebhardt, Frank Rügheimer, Heinz Detmer and Rudolf Kruse, Adaptable Markov Models in Industrial Planning, in: Proceedings of the 2004 IEEE International Conference on Fuzzy Systems (Budapest), IEEE Press, 2004
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
Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge and Rudolf Kruse, Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks, in: Advances in Grid and Pervasive Computing, Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings, Springer Verlag, 2007 attachment
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M. Hartmann, Frank Klawonn, Rudolf Kruse and K. Petras, Constructing Rule Bases and Fuzzy Sets for Interpolation: Experiences from Quality Evaluation, in: Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT'94), pages 1671--1673, 1994
Pascal Held, Christian Braune and Rudolf Kruse, Exploring dinofun park happenings, in: Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on, pages 157-158, 2015
Pascal Held, Christian Braune and Rudolf Kruse, Estimating Edge Weights in Dynamic Graphs based on Events, in: Proceedings // 22. Workshop Computational Intelligence, pages 201-215, KIT Scientific Publishing, 2012 attachment
Pascal Held, Alexander Dockhorn, Benjamin Krause and Rudolf Kruse, Clustering Social Networks Using Competing Ant Hives, in: Network Intelligence Conference (ENIC), 2015 Second European, pages 67-74, IEEE, 2015
Pascal Held, Alexander Dockhorn and Rudolf Kruse, On Merging and Dividing Social Graphs (2015), in: Journal of Artificial Intelligence and Soft Computing Research, 5:1(23-49) attachment
Pascal Held, Alexander Dockhorn and Rudolf Kruse, On Merging and Dividing of Barabasi-Albert-Graphs, in: Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on, Orlando USA, pages 17-24, IEEE, 2014 attachment
Pascal Held, Alexander Dockhorn and Rudolf Kruse, Generating Events for Dynamic Social Network Simulations, in: Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 46--55, Springer International Publishing, 2014
Pascal Held, Julia Hempel and Rudolf Kruse, Cluster-based Visualization of Dynamic Graphs, in: Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013, pages 21-37, KIT Scientific Publishing, 2013 attachment
Pascal Held, Benjamin Krause and Rudolf Kruse, Dynamic Clustering in Social Networks Using Louvain and Infomap Method, in: 2016 Third European Network Intelligence Conference (ENIC), pages 61-68, 2016
Pascal Held and Rudolf Kruse, Detecting overlapping community hierarchies in dynamic graphs, in: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 1063-1070, 2016
Pascal Held and Rudolf Kruse, Analysis and Visualization of Dynamic Clusterings, in: 2013 46th Hawaii International Conference on System Sciences, pages 1385-1393, IEEE Computer Society, 2013
Pascal Held and Rudolf Kruse, Online Fuzzy Community Detection by Using Nearest Hubs, in: Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II, Cham, pages 678-689, Springer International Publishing, 2016
Pascal Held and Rudolf Kruse, Estimation of hidden driver properties based on the driving behavior, in: Proceedings of 21. Workshop Computational Intelligence, pages 1-14, Karlsruher Institut für Technologie, 2011 attachment
Pascal Held, Christian Moewes, Christian Braune, Rudolf Kruse and Bernhard A. Sabel, Advanced Analysis of Dynamic Graphs in Social and Neural Networks, in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 205--222, Springer, 2013 attachment