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Topic: All Publications of Rudolf Kruse

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  • 530 publications (0 read)
  • 407 authors [view]
  • 26 Subtopics
Publications for topic "All Publications of Rudolf Kruse" sorted by title
I
S. Siekmann, Rudolf Kruse, F. van Overbeek, R. Cooke and Jörg Gebhardt, Information Fusion in the Context of Stock Index Prediction (2001), in: International Journal of Intelligent Systems, 11(1285--1298)
S. Siekmann, Rudolf Kruse, Jörg Gebhardt, F. van Overbeek and R. Cooke, Information Fusion in the Context of Stock Index Prediction, in: Proc. of European Conference on Symbolic and Quantitative Approaches to Uncertainty (ECSQARU'99), Springer, 1999
Frank Rügheimer and Rudolf Kruse, Information Miner -- a Data Analysis Platform, in: Proc. of the Joint 4th EUSFLAT 11th LFA Conference 2005, Universitat Politènica de Catalunya, 2005 attachment
Rudolf Kruse, Information Mining, in: Proc. of the Int. Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT 2001), pages 6--9, De Montfort University, 2001
Rudolf Kruse and Aljoscha Klose, Information Mining with Fuzzy Methods: Trends and Current Challenges, in: Proc. Methods and Models in Automation and Robotics Information (MMAR'02), pages 117--120, 2002
Aljoscha Klose and Rudolf Kruse, Information Mining with Semi-Supervised Learning, Springer, Soft Methodology and Random Information Systems, 2004
Rudolf Kruse and Aljoscha Klose, Information Mining: Applications in Image Processing, in: SOFSEM2000: Theory and Practice of Informatics, pages 266--285, Springer, 2000
Rudolf Kruse and Christian Borgelt, Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65)
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications., Springer, Communications in Computer and Information Science, volume 81, 2010
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods., Springer, Communications in Computer and Information Science, volume 80, 2010
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
Frank Rügheimer, Detlef Nauck and Rudolf Kruse, Informationsfusion in Neuro-Fuzzy-Systemen, in: Informationsfusion in der Mess- und Sensortechnik, pages 113--125, Universitätsverlag Karlsruhe, 2006
Xiaomeng Wang, Detlef Nauck, M. Spott and Rudolf Kruse, Intelligent Data Analysis with Fuzzy Decision Trees, in: Soft Computing for Information Mining (Workshop Proceedings 27th German Conference on Artificial Intelligence), 2004
Xiaomeng Wang, Detlef Nauck, Martin Spott and Rudolf Kruse, Intelligent data analysis with fuzzy decision trees (2007), in: Soft Computing: A Fusion of Foundations, Methodologies and Applications, 11:5(439--457) attachment
Rudolf Kruse, Intelligente Systeme: Wie geht man mit unvollkommenen Informationen um?, in: Universitätsschriften, Magdeburg, Otto-von-Guericke-Universität, 1998
Detlef Nauck and Rudolf Kruse, Interpreting Changes in the Fuzzy Sets of a Self-Adaptive Neural Fuzzy Controller, in: Proc.\ Second Int.\ Workshop on Industrial Applications of Fuzzy Control and Intelligent Systems (IFIS'92), pages 146--152, 1992
Detlef Nauck and Rudolf Kruse, Interpreting Changes in the Membership Functions of a Self Adaptive Neural Fuzzy Controller, in: Proc. 2nd Int. Workshop Industrial Applications of Fuzzy Control and Intelligent Systems, 1992
K
Marie-Jeanne Lesot and Rudolf Kruse, Kernel-based outlier preserving clustering, in: Information-Mining und Wissensmanagement in Wissenschaft und Wirtschaft - 8. Göttinger Symposium Soft Computing, Universität Göttingen, 2005 attachment
Heinz Detmer, Jörg Gebhardt, Christian Borgelt and Rudolf Kruse, Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107)
L
Christian Borgelt, A. Eichhorn, Rudolf Kruse and Detlef Nauck, Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463)
Christian Borgelt and Rudolf Kruse, Learning from Imprecise Data: Possibilistic Graphical Models, in: Proc.\ Int.\ Meeting on Nonlinear Methods and Data Mining (NMDM 2000), pages 190--203, Consiglio Nazionale delle Ricerche, 2000
Christian Borgelt and Rudolf Kruse, Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003
Christian Borgelt and Rudolf Kruse, Learning Graphical Models with Hypertree Structure Using a Simulated Annealing Approach, in: Proc.\ 10th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'01, Melbourne, Australia), IEEE Press, 2001
Detlef Nauck and Rudolf Kruse, Learning in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values, in: Proc. Sixth International Conference on Information Processing (ICONIP99), pages 142--147, Perth, 1999
Andreas Nürnberger and Rudolf Kruse, Learning methods for fuzzy systems, in: Proc. 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), 1997
Andreas Nürnberger and Rudolf Kruse, Learning Methods for Fuzzy Systems, in: Proc. of the 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), pages 367--372, IOS-Press, 1998 attachment
Rudolf Kruse and Detlef Nauck, Learning Methods for Fuzzy Systems, in: Proc.\ Fuzzy--Neuro--Systeme'95, pages 7--22, 1995
Tran Tuan Nguyen, Jens Spehr, Matthias Uhlemann, Sebastian Zug and Rudolf Kruse, Learning of lane information reliability for intelligent vehicles, in: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pages 142-147, 2016
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
Christian Borgelt, Guido Lindner and Rudolf Kruse, Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172)
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, 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
Christian Borgelt and Rudolf Kruse, Learning probabilistic and possibilistic networks: Theory and applications, in: Proc. 7th International Fuzzy Systems Association World Congress (IFSA'97), pages 19--24, 1997
Sebastian Nusser, Clemens Otte, Werner Hauptmann and Rudolf Kruse, Learning Verifiable Ensembles for Classification Problems with High Safety Requirements, in: Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2009
Christian Borgelt and Rudolf Kruse, Local Structure Learning in Graphical Models, in: Planning based on Decision Theory (Proc.\ 6th Int.\ Workshop, Udine, Italy 2002), pages 99--118, Springer-Verlag, 2003
M
Roland Winkler, Frank Klawonn and Rudolf Kruse, M-Estimator induced Fuzzy Clustering Algorithms, in: Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, European Society for Fuzzy Logic and Technology (EUSFLAT), Aix-Le-Bains, France, pages 298--304, Atlantis Press, 2011 attachment
Georg Ruß and Rudolf Kruse, Machine Learning Methods for Spatial Clustering on Precision Agriculture Data, in: Eleventh Scandinavian Conference on Artificial Intelligence, pages 40--49, IOS Press, 2011 attachment