Perfect learning and power law in learning from stochastic examples by Ising perceptrons: analysis under one-step replica symmetry breaking ansatz

DOI10.1088/0305-4470/29/17/004zbMath0903.92005OpenAlexW2006096104MaRDI QIDQ4393574

Tatsuya Uezu, Yoshiyuki Kabashima

Publication date: 10 January 1999

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0305-4470/29/17/004

zbMATH Keywords

learning curvesIsing weights

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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