A Gibbs-weighted vote of random perceptrons has an optimal inverse temperature beta* = pi*sqrt(d-2) for Gaussian teacher-perceptron data, independent of the teacher vector and ensemble size.
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Emergence of Structure in Ensembles of Random Neural Networks
A Gibbs-weighted vote of random perceptrons has an optimal inverse temperature beta* = pi*sqrt(d-2) for Gaussian teacher-perceptron data, independent of the teacher vector and ensemble size.