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Christian Borgelt
First name(s): Christian
Last name(s): Borgelt

Publications of Christian Borgelt sorted by title
| 1-50 | 51-100 | 101-124 |
A
Christian Borgelt and Rudolf Kruse, A Critique of Inductive Causation, in: Proc. 5th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99, London, United Kingdom), pages 68--79, Springer-Verlag, 1999
Christian Borgelt and Rudolf Kruse, Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000
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
Christian Borgelt and Rudolf Kruse, An Empirical Investigation of the K2 Metric, in: Proc.\ 6th European Conf.\ on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'01, Toulouse, France), pages 240--251, Springer-Verlag, 2001
Christian Borgelt and Rudolf Kruse, An Extended Objective Function for Prototype-less Fuzzy Clustering, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 146--151, 2007 attachment
Christian Braune, Christian Borgelt and Sonja Grün, Assembly Detection in Continuous Neural Spike Train Data, in: Advances in Intelligent Data Analysis XI, pages 78-89, Springer Berlin / Heidelberg, 2012
Christian Borgelt and Rudolf Kruse, Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, pages 77--98, Physica-Verlag, Data Mining: Theoretische Aspekte und Anwendungen, 1998
B
Christian Braune, Christian Borgelt and Rudolf Kruse, Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013
C
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data, in: Proc.\ 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96, Aachen, Germany), pages 1556--1560, Verlag Mainz, 1996
Christian Borgelt and Rudolf Kruse, Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 attachment
D
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Data Mining mit Neuro-Fuzzy-Systemen, in: Proc.\ Symposium Operations Research (SOR'99, Magdeburg, Germany), 1999
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Data Mining with Fuzzy Methods: Status and Perspectives, in: Proc.\ 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99, Aachen, Germany), Verlag Mainz, 1999 attachment
Rudolf Kruse and Christian Borgelt, Data Mining with Graphical Models, in: Proc. DS 2002, pages 2--11, Springer, 2002
Rudolf Kruse and Christian Borgelt, Data Mining with Graphical Models, in: Proc.\ Computer Science for Environmental Protection (12th Int.\ Symp.\ ``Informatik für den Umweltschutz'', Bremen, Germany), pages 17--30, 1998
Christian Borgelt and Rudolf Kruse, Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003
E
Christian Döring, Christian Borgelt and Rudolf Kruse, Effects of Irrelevant Attributes in Fuzzy Clustering, in: Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 862--866, IEEE Press, 2005
Christian Borgelt and Rudolf Kruse, Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions, in: Proc.\ 7th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'98, Anchorage, AK), pages 663--668, IEEE Press, 1998 attachment
Rudolf Kruse and Christian Borgelt, Evaluation measures for learning probabilistic and possibilistic networks, in: Proc. 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'97), pages 669--676, 1997 attachment
F
Christian Braune, Christian Borgelt and Sonja Grün, Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing, in: Advances in Intelligent Data Analysis X, pages 55-66, Springer Berlin / Heidelberg, 2011
Christian Borgelt and Rudolf Kruse, Finding the Number of Fuzzy Clusters by Resampling, in: Proc. 16th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'06, Vancouver, Canada), IEEE Press, Piscataway, NJ, USA, 2006
| 1-50 | 51-100 | 101-124 |