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Learnability of Relatively Quantified Generalized Formulas

ALGORITHMIC LEARNING THEORY, PROCEEDINGS, (2004): 365-379

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Abstract

In this paper we study the learning complexity of a vast class of quantifed formulas called Relatively Quantified Generalized Formulas. This class of formulas is parameterized by a set of predicates, called a basis. We give a complete classification theorem, showing that every basis gives rise to quantified formulas that are either polyno...More

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