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Lecture Notes in Networks and Systems; Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond ,
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Knowledge Integration in Vector Quantization Models and Cor..:
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Lecture Notes in Networks and Systems; Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond ,
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About Interpretable Learning Rules for Vector Quantizers - ..:
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Lecture Notes in Networks and Systems; Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond ,
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Hyperbox-GLVQ Based on Min-Max-Neurons:
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Advances in Self-Organizing Maps, Learning Vector Quantizat..
Lecture Notes in Networks and Systems, 1087
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Lecture Notes in Networks and Systems; Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond ,
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K Minimum Enclosing Balls for Outlier Detection:
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Lecture Notes in Computer Science; Artificial Intelligence and Soft Computing ,
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Multilayer Perceptrons with Banach-Like Perceptrons Based o..:
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2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) ,
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Reducing Computer Vision Dataset Size via Selective Samplin:
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Communications in Computer and Information Science; Neural Information Processing ,
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Classification by Components Including Chow's Reject Option:
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2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) ,
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