Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science
Abstract
This report surveys some key results on the learning of Boolean functions in a probabilistic model that is a generalization of the well-known ‘PAC’ model. A version of this is to appear as a chapter in a book on Boolean functions, but the report itself is relatively self-contained
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