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Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.

, , , , and . CIDM, page 71-77. IEEE, (2014)

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Fuzzy Neural Gas for Unsupervised Vector Quantization., , , and . ICAISC (1), volume 7267 of Lecture Notes in Computer Science, page 350-358. Springer, (2012)Learning matrix quantization and relevance learning based on Schatten-p-norms., , , , and . Neurocomputing, (2016)Non-Euclidean independent component analysis and Oja's learning., , and . ESANN, (2013)Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning., , and . ICAISC (1), volume 8467 of Lecture Notes in Computer Science, page 77-88. Springer, (2014)Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems., , , , and . CIDM, page 71-77. IEEE, (2014)Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization., , , and . ESANN, (2014)About analysis and robust classification of searchlight fMRI-data using machine learning classifiers., , and . IJCNN, page 1-8. IEEE, (2013)Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization., , and . WSOM, volume 295 of Advances in Intelligent Systems and Computing, page 259-269. Springer, (2014)Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms., , , , and . ICAISC (1), volume 9119 of Lecture Notes in Computer Science, page 403-414. Springer, (2015)Non-Euclidean principal component analysis by Hebbian learning., , and . Neurocomputing, (2015)