Improved Bounds on the Sample Complexity
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Yi Li; Philip M. Long; Aravind Srinivasan
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Article
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2001
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Elsevier Science
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English
β 137 KB
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimates is measured using a variant of the relative error proposed by Haussler and Pollard. We also show that our bound is wit