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All publications sorted by title
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| 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 , Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003 |
| 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 , Learning in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values, in: Proc. Sixth International Conference on Information Processing (ICONIP99), pages 142--147, Perth, 1999 |
| and , Learning methods for fuzzy systems, in: Proc. 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), 1997 |
| and , Learning Methods for Fuzzy Systems, in: Proc. of the 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), pages 367--372, IOS-Press, 1998 |
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| and , Learning Methods for Fuzzy Systems, in: Proc.\ Fuzzy--Neuro--Systeme'95, pages 7--22, 1995 |
| , , , and , Learning of lane information reliability for intelligent vehicles, in: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pages 142-147, 2016 |
| and , Learning Possibilistic Graphical Models, in: Proc. 3rd European Congress on Fuzzy and Intelligent Technologies (EUFIT'95), pages 74--76, 1995 |
| , and , Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172) |
| and , Learning Possibilistic Networks from Data, pages 143--153, Springer, Learning from Data, Artificial Intelligence and Statistics 5, Le, volume 112, 1996 |
| and , Learning Possibilistic Networks from Data, in: Proc. 5th International Workshop on Artificial Intelligence and Statistics, pages 233--244, 1995 |
| and , Learning Possibilistic Networks from Data, in: Proceedings of FUZZ-IEEE / IFES '95, pages 1575--1580, 1995 |
| 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 Verifiable Ensembles for Classification Problems with High Safety Requirements, in: Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2009 |
| Learning, Networks and Statistics., Springer, 1997 |
| , , , and , Lernen probabilistischer and possibilistischer Netze aus Daten: Theorie und Anwendung (1998), in: KI-Themenheft Data Mining(11--17) |
| , Local Forecasting of the Entry and Exit Points of a Satellite into the Van Allen Radiation Belts, Uni Magdeburg, 2011 |
| 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 |
| , and , Logical Approaches to Uncertainty and Vagueness in the View of the Context Model, in: Proc. IEEE International Conference on Fuzzy Systems, 1992 |
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| , and , M-Estimator induced Fuzzy Clustering Algorithms, in: Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, European Society for Fuzzy Logic and Technology (EUSFLAT), Aix-Le-Bains, France, pages 298--304, Atlantis Press, 2011 |
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| and , Machine Learning Methods for Spatial Clustering on Precision Agriculture Data, in: Eleventh Scandinavian Conference on Artificial Intelligence, pages 40--49, IOS Press, 2011 |
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| , Mapping of WDLPS neochromosomes, Otto-von-Guericke-Universität Magdeburg, 2010 |
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| , Markovzustandsschätzung mittels rekurrenter neuronaler Netze für Systeme mit verzögert wirkenden Effekten, Otto-von-Guericke-Universität, 2011 |
| , , , , and , Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (2009), in: at -- Automatisierungstechnik, 57:3(138-145) |
| and , Mass Distributions on L-Fuzzy Sets and Families of Frames of Discernment, pages 239--250, Wiley, Advances in Dempster-ShaferTheory of Evidence, 1994 |
| Mathematical and Statistical Methods in AI, Springer, 1995 |
| , and , Mdspolar: A new approach for dimension reduction to visualize high dimensional data, in: Advances inIntelligent Data Analysis VI - Proc. of the 6th Int. Symp. on IDA 2005, Berlin, Heidelberg, pages 316--327, Springer, 2005 |
| and , Measures of Nonspecificity for Decomposing Possibility Distributions, in: Proc. Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS '96), pages 177--179, 1996 |
| , , , and , Memory-efficient analysis of dense functional connectomes (2016), in: Frontiers in neuroinformatics Lausanne Frontiers Research Foundation, 10 2016 12 Bd. 10.2016, Art.-Nr. 50, insges. 12 S. |
| , Mining Associations Between Subsequences in Time-Series, Otto-von-Guericke-Universit{\"a}t Magdeburg, 2011 |
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| , , and , Mining changing customer segments in dynamic markets (2009), in: Expert Systems with Applications, 36:1(155--164) |
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| , , and , Mining Frequent Parallel Episodes with Selective Participation, in: 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Atlantis Press, 2015 |
| , , and , Mining frequent temporal patterns in interval sequences (2008), in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), 16:5(645--661) |
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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 , Mining Local Connectivity Patterns in fMRI Data., in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 305--317, Springer Berlin Heidelberg, 2013 |
| and , Mining Sequences of Temporal Intervals, in: Knowledge Discovery in Databases: PKDD 2006, pages 569-576, Springer, 2006 |
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