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Mierswa/2006a

Mierswa, Ingo. Evolutionary Learning with Kernels: A Generic Solution for Large Margin Problems. In Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2006), 2006.

Scholz/Klinkenberg/2005a

Scholz, Martin and Klinkenberg, Ralf. An Ensemble Classifier for Drifting Concepts. In Gama, J. and Aguilar-Ruiz, J. S. (editors), Proceedings of the Second International Workshop on Knowledge Discovery in Data Streams, pages 53-64, Porto, Portugal, 2005.

Klinkenberg/2003a

Klinkenberg, Ralf. Predicting Phases in Business Cycles Under Concept Drift. In Hotho, Andreas and Stumme, Gerd (editors), LLWA 2003 - Tagungsband der GI-Workshop-Woche \em Lehren - Lernen - Wissen - Adaptivität, Proceedings of the Workshop Week \em Teaching - Learning - Knowledge - Adaptivity of the National German Computer Science Society (GI) / Annual Workshop on Machine Learning, pages 3-10, Karlsruhe, Germany, 2003.

Scholz/Klinkenberg/2006a

Scholz, Martin and Klinkenberg, Ralf. Boosting Classifiers for Drifting Concepts. No. 6/06, Collaborative Research Center on the Reduction of Complexity for Multivariate Data Structures (SFB 475), University of Dortmund, Dortmund, Germany, 2006.

Moerchen/etal/2006a

Mörchen, Fabian and Mierswa, Ingo and Ultsch, Alfred. Understandable models of music collections based on exhaustive feature generation with temporal statistics. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006.

Ritthoff/etal/2002b

Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo. A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm. In Bullinaria, John A. (editors), Proceedings of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02), pages 147-154, Birmingham, UK, University of Birmingham, 2002.