Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms

DOI10.1007/978-3-319-19324-3_37zbMath1355.68224OpenAlexW2406390251MaRDI QIDQ2814150

Kristin Domaschke, Andrea Bohnsack, M. Lange, Thomas Villmann, Marika Kaden

Publication date: 17 June 2016

Published in: Artificial Intelligence and Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-19324-3_37

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms

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