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by Peter Sollich
ftp://ftp.cs.cuhk.hk/pub/neuro/papers/sollich.linear_perc.ps.gz
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Abstract:

Learning in large linear perceptrons and why the thermodynamic limit is relevant

Citations

23 Multivariate Statistics: A Vector Space Approach – Eaton - 1983
15 Generalization in a linear perceptron in the presence of noise – Krogh, Hertz - 1992
7 Learning with noise in a linear perceptron – Krogh - 1992
7 Learning in Neural Networks: Solvable Dynamics – Opper - 1989
4 Finite size effects and optimal test set size – Barber, Saad, et al. - 1994
2 A Krogh, and G I Thorbergsson – Hertz - 1989