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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 title
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| 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 |
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, Springer, NATO ASI Series 7, 1997 |
| and , 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 |
| 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 , Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, in: Computational Intelligence in Theory and Practice, pages 121--138, Physica-Verlag, 2001 |
| and , Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000 |
| , , and , Probabilistische graphische Modelle und ihre Anwendung in der Automobilindustrie (2004), in: Datenbank Spektrum - Zeitschrift für Datenbanktechnologie, 4:9 |
| , and , Problems and Prospects in Fuzzy Data Analysis, in: Soft Computing and Intelligent Systems: Prospects, Tools and Applications, pages 95--109, Springer-Verlag, 2000 |
| and , Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony, in: EUSFLAT-13, Atlantis Press, 2013 |
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| and , 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 |
| 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 , Some experimental results on learning probabilistic and possibilistic networks with different evaluation measures, in: Proc. 1st International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU/FAPR'97), pages 71--85, 1997 |
| 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 |
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| , , , and , The role of soft computing in intelligent data analysis, in: Final program and abstracts of the 2007 IEEE International Conference on Fuzzy Systems, pages 9--17, 2007 |
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| , and , Unsicheres und vages Wissen, in: Einführung in die Künstliche Intelligenz (3.~Auflage), pages 291--347, Addison-Wesley, 2000 |
| , , and , Unsicheres und vages Wissen, in: Handbuch der Künstlichen Intelligenz, pages 235-296, De Gruyter, 2013 |
| and , Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen (2001), in: {K}ünstliche Intelligenz, {T}hemenheft Unsicherheit und {V}agheit, 15:3(5--8) |
| , and , Using Fuzzy Clustering to Improve Naive Bayes Classifiers and Probabilistic Networks, in: Proc.\ 9th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'00, San Antonio, TX), IEEE Press, 2000 |