Learning and generalization errors for the 2D binary perceptron.

DOI10.1016/J.MCM.2004.09.010zbMath1121.82344OpenAlexW2071201386MaRDI QIDQ815504

N. E. Zubov

Publication date: 16 February 2006

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2004.09.010

zbMATH Keywords

neural networksstatistical mechanicsmachine learningbinary perceptron

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

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• Characterization of the law of the iterated logarithm in Banach spaces
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Generalization and learning error for nonlinear perceptron.
• On the Gaussian perceptron at high temperature
• Rigorous solution of the Gardner problem
• Probability Inequalities for Sums of Bounded Random Variables
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations

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