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 recency
| 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 , Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc.\ European Symposium on Intelligent Technologies, Hybrid Systems and Their Implementation on Smart Adaptive Systems (eunite'01, Puerto de la Cruz, Tenerife, Spain), Verlag Mainz, 2001 |
| and , Operations and Evaluation Measures for Learning Possibilistic Graphical Models (2003), in: Artificial Intelligence, 148(385--418) |
| and , Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65) |
| 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 , 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 |
| Advances in Intelligent Data Analysis V --- Proc.\ 5th Int.\ Symp.\ on Intelligent Data Analysis (IDA2003, Berlin, Germany), Springer-Verlag, 2003 |
| , , and , Neuro-Fuzzy-Systeme --- Von den Grundlagen künstlicher Neuronaler Netze zu modernen Fuzzy-Systemen, Vieweg, 2003 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003 |
| 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 , An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) |
| , and , Fuzzy Clustering of Quantitative and Qualitative Data, in: Proc.\ Conf.\ North American Fuzzy Information Processing Society (NAFIPS 2004, Banff, Alberta, Canada), pages 84--89, IEEE Press, 2004 |
| , and , 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 |
| , and , Fuzzy Learning Vector Quantization with Size and Shape Parameters, in: Proc. 15th IEEE Int. Conf. on Fuzzy Systems, 2005 (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 195--200, IEEE Press, 2005 |
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| , and , Mining Fuzzy Frequent Item Sets, in: Proc.\ 11th Int.\ Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 528--533, Tsinghua University Press and Springer-Verlag, 2005 |
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| 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 , 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 |
| From Data and Information Analysis to Knowledge Engineering --- Proc.\ 29th Ann.\ Conf.\ of the German Classification Society (GfKl 2005, Magdeburg, Germany), Springer-Verlag, 2005 |
| 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 , A Framework for Discovering Interesting Business Changes from Data (2006), in: BT Technology Journal, 24:2(219--228) |
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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 |