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Schleif, Frank-M and Hammer, B. and Kostrzewa, M. and Villmann, T.: Exploration of Mass-Spectrometric Data in Clinical Proteomics Using Learning Vector Quantization Methods, Briefings in Bioinformatics, Volume 9, 2008 |
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Villmann, Th. and Hammer, B. and Schleif, Frank-M. and Hermann, W. and Cottrell, M.: Fuzzy Classification Using Information Theoretic Learning Vector Quantization, Neurocomputing, Volume 16-18, 2008 |
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Witoelar, A. and Biehl, M. and Ghosh, A. and Hammer, B.: Learning dynamics and robustness of vector quantization and neural gas, Neurocomputing, Volume 71, 2008 |
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Biehl, M. and Ghosh, A. and Hammer, B.: Dynamics and generalization ability of LVQ algorithms, Journal of Machine Learning Research, Volume 8, 2007 |
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Dix, J: Preface, Annals of Mathematics and Artificial Intelligence, Volume 50, 2007 |
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Hammer, B. and Hasenfuss, A. and Villmann, Th.: Magnification control for batch neural gas, Neurocomputing, Volume 70, 2007 |
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Jamroga, W. and : Constructive Knowledge: What Agents Can Achieve under Incomplete Information, Journal of Applied Non-Classical Logics, Volume 17, 2007 |
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Reuter, M.: Zuverl, Strategie und Technik, Report Verlag, Berlin, 2007 |
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Schleif, F.-M. and Hammer, B. and Villmann, Th.: Margin based Active Learning for LVQ Networks, Neurocomputing, Volume 70, 2007 |
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van der Hoek, W. and Jamroga, W. and Wooldridge, M.: Towards a Theory of Intention Revision, Synthese, Volume 155, Springer, March 2007 |