An O(nlog log n) Learning Algorithm for
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Y. Mansour
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Article
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1995
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Elsevier Science
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English
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We show that a DNF with terms of size at most \(d\) can be approximated by a function at most \(d^{O(d \log 1 / \epsilon)}\) nonzero Fourier coefficients such that the expected error squared, with respect to the uniform distribution, is at most \(\epsilon\). This property is used to derive a learnin