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Learning read-once formulas with queries
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Source Journal of the ACM (JACM) archive
Volume 40 ,  Issue 1  (January 1993) table of contents
Pages: 185 - 210  
Year of Publication: 1993
ISSN:0004-5411
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ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 30,   Citation Count: 43
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ABSTRACT

A read-once formula is a Boolean formula in which each variable occurs, at most, once. Such formulas are also called &mgr;-formulas or Boolean trees. This paper treats the problem of exactly identifying an unknown read-once formula using specific kinds of queries. The main results are a polynomial-time algorithm for exact identification of monotone read-once formulas using only membership queries, and a polynomial-time algorithm for exact identification of general read-once formulas using equivalence and membership queries (a protocol based on the notion of a minimally adequate teacher [1]). The results of the authors improve on Valiant's previous results for read-once formulas [26]. It is also shown, that no polynomial-time algorithm using only membership queries or only equivalence queries can exactly identify all read-once formulas.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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~ANGLUm, D. Using queries to identify /z-formulas. Tech. rcp. YALE/DCS/RR-694. Yale ~Univ., New Haven, Conn., 1989.
 
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~ANGLUIN, D., FRAZIER, M., AND PITT, L. Learning conjunctions of Horn clauses. In Proceed- ~ings o)' tile 31st Annual Symposium on Foundations of Computer Sctetzce. IEEE Computer ~Society Press, New York, 1990, pp. 186-192.
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~ANGLUIN, D. AND VALIANT, L. Fast probabilistic algorithms for Hamiltonian circuits and ~matchings. J. Compttt. Syst. Sci. J8 (1979), 155-193.
 
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~HANCOCK, T. Identifying /z-decision trees and /z-formulas with constrained instance queries. ~Manuscript, Harvard University, Cambridge, Mass., 1989.
 
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CITED BY  43

Collaborative Colleagues:
Dana Angluin: colleagues
Lisa Hellerstein: colleagues
Marek Karpinski: colleagues