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Titlebook: Machine Learning and Data Mining in Pattern Recognition; Second International Petra Perner Conference proceedings 2001 Springer-Verlag Berl

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How to Automate Neural Net Based Learningor publications but in real life, fine tuning must become unnecessary. In the present paper an approach is demonstrated fulfilling this demand. Moreover referring to six medical classification and approximation problems of the PROBEN 1 benchmark collection this approach will be shown even to outperform fine tuned networks.
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First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Mapsnts an application of first-order rule induction to pattern recognition in topographic maps. Research issues related to the extraction of first-order logic descriptions from vectorized topographic maps are introduced. The recognition of morphological patterns in topographic maps of the Apulia region is presented as a case study.
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Validation of Text Clustering Based on Document ContentsBible. Four different translations, one Greek, one Latin, and two Finnish translations from years 1933/38 and 1992 were selected as test text material. Validation experiments were performed with a designed prototype version of the software application.
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Conference proceedings 2001mmars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.
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