LIBROS DEL AUTOR: christian munzenmayer

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  • Classifier Learning for Imbalanced Data
    Christian Münzenmayer / Jörg Mennicke / Ute Schmid
    This work discusses the theoretical abilities of three commonly used classifier learning methods and optimization techniques to cope with characteristics of real-world classification problems, more specifically varying misclassification costs, imbalanced data sets and varying degrees of hardness of class boundaries. From these discussions a universally applicable optimization f...
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