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Keywords:
- Artificial Neural Networks
- Bayesian Networks
- clustering
- Computational Intelligence
- continuous data
- dynamic graphs
- EEG
- Enron dataset
- ensemble detection
- Evolutionary Algorithms
- Fuzzy Systems
- Hebbian learning
- multidimensional scaling
- Neural Networks
- neuroimaging
- neuroscience
- point processes
- social network analysis
- spike train
- spike train analysis
Publications of Christian Borgelt sorted by first author
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| Advances in Intelligent Data Analysis V --- Proc.\ 5th Int.\ Symp.\ on Intelligent Data Analysis (IDA2003, Berlin, Germany), Springer-Verlag, 2003 |
| and , Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony, in: EUSFLAT-13, Atlantis Press, 2013 |
| , , and , New Algorithms for Finding Approximate Frequent Item Sets (2012), in: Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16:2(903-917) |
| , , and , Handling Noise and Outliers in Fuzzy Clustering, in: Fifty Years of Fuzzy Logic and its Applications, pages 315-335, Springer International Publishing, 2015 |
| , , and , Unsicheres und vages Wissen, in: Handbuch der Künstlichen Intelligenz, pages 235-296, De Gruyter, 2013 |
| , , and , Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463) |
| , and , Inference Methods, chapter F1.2, Institute of Physics Publishing, Handbook of Fuzzy Computation, 1998 |
| , and , Possibilistic Graphical Models, in: Proc. ISSEK'98 (Udine, Italy), 1998 |
| , and , 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 |
| , , and , Probabilistische graphische Modelle und ihre Anwendung in der Automobilindustrie (2004), in: Datenbank Spektrum - Zeitschrift für Datenbanktechnologie, 4:9 |
| , , , and , Lernen probabilistischer and possibilistischer Netze aus Daten: Theorie und Anwendung (1998), in: KI-Themenheft Data Mining(11--17) |
| , and , Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000 |
| , and , Inference Methods, in: Handbook of Fuzzy Computation, Institute of Physics Publishing, 1998 |
| , and , Fuzzy-Methoden in der Datenanalyse, in: {F}uzzy-{T}heorie und {S}tochastik, pages 370--386, Vieweg, 1999 |
| and , Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie (2015), in: Informatik-Spektrum, 38:6(490-499) |
| and , An Extended Objective Function for Prototype-less Fuzzy Clustering, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 146--151, 2007 |
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| and , 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 |
| and , 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 |
| and , Fuzzy and Probabilistic Clustering with Shape and Size Constraints, in: Proc. 11th Int. Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 945--950, Tsinghua University Press and Springer-Verlag, 2005 |
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| and , 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 |
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| and , Speeding Up Fuzzy Clustering with Neural Network Techniques, in: Proc.\ 12th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'03, St.~Louis, MO, USA), IEEE Press, 2003 |
| and , Operations and Evaluation Measures for Learning Possibilistic Graphical Models (2003), in: Artificial Intelligence, 148(385--418) |
| and , Graphical Models - Methods for Data Analysis and Mining, Wiley, 2002 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees IPMU'02, in: Annecy, 2002 |
| and , 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 |
| and , Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen (2001), in: {K}ünstliche Intelligenz, {T}hemenheft Unsicherheit und {V}agheit, 15:3(5--8) |
| and , 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 |
| and , 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 |
| and , 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 |
| and , 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 |