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An O(n) bin-packing algorithm for uniformly distributed data

โœ Scribed by J. Csirik; G. Galambos


Publisher
Springer Vienna
Year
1986
Tongue
English
Weight
237 KB
Volume
36
Category
Article
ISSN
0010-485X

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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