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- W108285666 abstract "We introduce a median variant of the Generalized Learning Vector Quantization GLVQ algorithm. Thus, GLVQ can be used for classification problem learning, for which only dissimilarity information between the objects to be classified is available. For this purpose, the cost function of GLVQ is reformulated as a probabilistic model such that a generalized expectation maximization scheme can be applied as learning procedure. We give a rigorous mathematical proof for the new approach. Exemplary examples demonstrate the performance and the behavior of the algorithm." @default.
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- W108285666 date "2013-01-01" @default.
- W108285666 modified "2023-09-24" @default.
- W108285666 title "A Median Variant of Generalized Learning Vector Quantization" @default.
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- W108285666 doi "https://doi.org/10.1007/978-3-642-42042-9_3" @default.
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