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Galaxy classification: A machine learning analysis of GAMA catalogue data., , , , и . Neurocomputing, (2019)Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis., и . WSOM, том 428 из Advances in Intelligent Systems and Computing, стр. 329-339. Springer, (2016)Insightful stress detection from physiology modalities using Learning Vector Quantization., , и . Neurocomputing, (2015)Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ., , , и . BrainComp, том 10087 из Lecture Notes in Computer Science, стр. 131-141. Springer, (2015)Statistical Mechanics of On-Line Learning Under Concept Drift., , , , и . Entropy, 20 (10): 775 (2018)Some steps towards a general principle for dimensionality reduction mappings., , и . Learning paradigms in dynamic environments, том 10302 из Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2010)Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition., и . Similarity-based learning on structures, том 09081 из Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)Biomedical Applications of Prototype Based Classifiers and Relevance Learning.. AlCoB, том 10252 из Lecture Notes in Computer Science, стр. 3-23. Springer, (2017)The dynamics of Learning Vector Quantization., , и . ESANN, стр. 13-18. (2005)Relevance matrices in LVQ., , и . ESANN, стр. 37-42. (2007)