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Mierswa/etal/2006a

Please cite this document for citing YALE
Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm. YALE: Rapid Prototyping for Complex Data Mining Tasks. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), ACM Press, 2006.

Mierswa/Morik/2005a

Mierswa, Ingo and Morik, Katharina. Automatic Feature Extraction for Classifying Audio Data. In Machine Learning Journal, Vol. 58, pages 127-149, 2005.

Fischer/etal/2002a

Fischer, Simon and Klinkenberg, Ralf and Mierswa, Ingo and Ritthoff, Oliver. YALE: Yet Another Learning Environment - Tutorial. No. CI-136/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002.

Ritthoff/etal/2001a

Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo and Felske, Sven. Yale: Yet Another Machine Learning Environment. In Klinkenberg, Ralf and Rüping, Stefan and Fick, Andreas and Henze, Nicola and Herzog, Christian and Molitor, Ralf and Schröder, Olaf (editors), LLWA 01 - Tagungsband der GI-Workshop-Woche Lernen - Lehren - Wissen - Adaptivität, No. 763, pages 84-92, Dortmund, Germany, 2001.

Mierswa/Wurst/2006a

Mierswa, Ingo and Wurst, Michael. Information Preserving Multi-Objective Feature Selection for Unsupervised Learning. In Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2006), 2006.

Mierswa/Wurst/2005c

Mierswa, Ingo and Wurst, Michael. Efficient Case Based Feature Construction for Heterogeneous Learning Tasks. In J. Gama et al. (editors), Proc. of the European Conference on Machine Learning (ECML 2005), pages 641-648, Springer, 2005.