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33rd Annual Symposium on Foundations of Computer Science (FOCS 1992)
Pittsburgh, PA, USA
October 24-October 27
ISBN: 0-8186-2900-2
H. Aizenstein, Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
A general technique is developed to obtain nonlearnability results in the model of exact learning from equivalence and membership queries. The technique is applied to show that, assuming NP not=co-NP, there does not exist a polynomial-time membership and equivalence query algorithm for exactly learning read-thrice DNF formulas-boolean formulas in disjunctive normal form where each variable appears at most three times. This result adds evidence to the conjecture that DNF is hard to learn in the membership and equivalence query model.
Index Terms:
disjunctive normal, membership, equivalence queries, nonlearnability, exact learning, polynomial-time membership, read-thrice DNF formulas, boolean formulas
Citation:
H. Aizenstein, L. Hellerstein, L. Pitt, "Read-thrice DNF is hard to learn with membership and equivalence queries," focs, pp.523-532, 33rd Annual Symposium on Foundations of Computer Science (FOCS 1992), 1992
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