Christian Borgelt's Webpages

Learning from Imprecise Data: Possibilistic Graphical Models.
Christian Borgelt and Rudolf Kruse.
International Meeting on Nonlinear Methods and Data Mining, pp. 190--203.
Consiglio Nazionale delle Ricerche, Rome, Italy 2000.
(14 pages)
Kapitel 9: Unsicheres und vages Wissen.
Christian Borgelt, Heiko Timm and Rudolf Kruse.
Einführung in die Künstliche Intelligenz (3.Auflage), pp. 291-347.
G. Görz, C.-R. Rollinger and J. Schneeberger, eds.
Addison-Wesley, Bonn, Germany 2000
Abductive Inference with Probabilistic Networks.
Christian Borgelt and Rudolf Kruse.
Handbook of Defeasible Reasoning and Uncertainty Management Systems
Vol. 4: Abductive Reasoning and Learning, 281-314.
D.M. Gabbay and R. Kruse, eds.
Kluwer, Dordrecht, Netherlands 2000.
abductio.pdf (201 kb) abductio.ps.gz (133 kb) (34 pages)
Advanced Fuzzy Clustering and Decision Tree Plug-Ins for DataEngine.
Christian Borgelt and Heiko Timm.
Intelligent Systems and Soft Computing, 188-212.
B. Azvine, N. Azarmi, and D. Nauck, eds.
LNCS 1804, Springer, London, United Kingdom 2000.
bt.pdf (397 kb) bt.ps.gz (245 kb) (25 pages)
Problems and Prospects in Fuzzy Data Analysis.
Rudolf Kruse, Christian Borgelt and Detlef Nauck.
Intelligent Systems and Soft Computing, 95-109.
B. Azvine, N. Azarmi, and D. Nauck, eds.
LNCS 1804, Springer, London, United Kingdom 2000.

Using Fuzzy Clustering to Improve Naive Bayes Classifiers and Probabilistic Networks.
Christian Borgelt, Heiko Timm, and Rudolf Kruse.
Proc. 9th IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE'00, San Antonio, TX), CD-ROM.
IEEE Press, Piscataway, NJ, USA 2000
fieee_00.pdf (194 kb) fieee_00.ps.gz (161 kb) (6 pages)
Possibilistic Graphical Models.
Christian Borgelt, Jörg Gebhardt, and Rudolf Kruse.
Computational Intelligence in Data Mining (Proc. 3rd Int. Workshop, Udine, Italy 1998), pp. 51-68.
G. Della Riccia, R. Kruse, and H.-J. Lenz, eds.
CISM Courses and Lectures 408, Springer, Wien, Austria 2000.
cidm_98.pdf (155 kb) cidm_98.ps.gz (122 kb) (17 pages)