Information-theoretic self-compression of multi-layered neural networks

DOI10.1007/978-3-030-04070-3_31zbMath1522.68465OpenAlexW2901978179MaRDI QIDQ6049074

Ryotaro Kamimura

Publication date: 16 October 2023

Published in: Theory and Practice of Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-04070-3_31

zbMATH Keywords

multi-layered neural networksself-compressionmutual information controlsingle-layered neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Cites Work

• A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
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