For with drawn from a binary class , fixing leaves an -dimensional linear sign class. Consequently
when is finite, and in general
A bias-free network with inputs, sign-activated hidden nodes, and a thresholded linear output satisfies
The hidden units contribute sample patterns, and the output weights contribute .

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