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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 recency
| 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 , Evaluation measures for learning probabilistic and possibilistic networks, in: Proc. 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'97), pages 669--676, 1997 |
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| and , Data Mining with Graphical Models, in: Proc. DS 2002, pages 2--11, Springer, 2002 |
| , , and , Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc. Of the 1st International Workshop on Hybrid Methods for Adaptive Systems (EUNITE ´01), 2001 |
| and , Learning probabilistic and possibilistic networks: Theory and applications, in: Proc. 7th International Fuzzy Systems Association World Congress (IFSA'97), pages 19--24, 1997 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees IPMU'02, in: Annecy, 2002 |
| , and , Possibilistic Graphical Models, in: Proc. ISSEK'98 (Udine, Italy), 1998 |
| and , Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, pages 77--98, Physica-Verlag, Data Mining: Theoretische Aspekte und Anwendungen, 1998 |
| and , Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003 |
| , and , Inference Methods, chapter F1.2, Institute of Physics Publishing, Handbook of Fuzzy Computation, 1998 |
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, Springer, NATO ASI Series 7, 1997 |
| and , Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000 |
| Advances in Intelligent Data Analysis V, Springer, 2003 |
| , , , and , From Data and Information Analysis to Knowledge Engineering, Springer, 2006 |
| and , Graphical Models - Methods for Data Analysis and Mining, Wiley, 2002 |
| , , and , Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107) |
| , , , and , An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) |
| , , 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 , Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463) |
| , and , Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172) |