Tight Bounds on Proper Equivalence Query Learning of DNF

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Lisa Hellerstein, Devorah Kletenik, Linda Sellie, Rocco Servedio ;
Proceedings of the 25th Annual Conference on Learning Theory, PMLR 23:31.1-31.18, 2012.

Abstract

We prove a new structural lemma for partial Boolean functions \emphf, which we call the \emphseed lemma for \emphDNF. Using the lemma, we give the first subexponential algorithm for proper learning of poly(\emphn)-term DNF in Angluin’s Equivalence Query (EQ) model. The algorithm has time and query complexity 2^(Õ√\emphn), which is optimal. We also give a new result on certificates for DNF-size, a simple algorithm for properly PAC-learning DNF, and new results on EQ-learning log \emphn-term DNF and decision trees.

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