Learning figures with the Hausdorff metric by fractals -- towards computable binary classification

DOI10.1007/s10994-012-5301-zzbMath1260.68345OpenAlexW2025650579MaRDI QIDQ1945017

Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto

Publication date: 28 March 2013

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-012-5301-z

zbMATH Keywords

discretizationHausdorff metricbinary classificationself-similar settype-2 theory of effectivityGold's learning model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fractals (28A80) Hausdorff and packing measures (28A78)

Related Items (1)

Hausdorff dimension, heavy tails, and generalization in neural networks*

Uses Software

• iRRAM
• PRMLT

Cites Work

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