• DocumentCode
    2891817
  • Title

    Exact learning of read-twice DNF formulas

  • Author

    Aizenstein, Howard ; Pitt, L.

  • Author_Institution
    Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
  • fYear
    1991
  • fDate
    1-4 Oct 1991
  • Firstpage
    170
  • Lastpage
    179
  • Abstract
    A polynomial-time algorithm is presented for exactly learning the class of read-twice DNF formulas, i.e. Boolean formulas in disjunctive normal form where each variable appears at most twice. The (standard) protocol used allows the learning algorithm to query whether a given assignment of Boolean variables satisfies the DNF formula to be learned (membership queries), as well as to obtain counterexamples to the correctness of its current hypothesis which can be any arbitrary DNF formula (equivalence queries). The formula output by the learning algorithm is logically equivalent to the formula to be learned
  • Keywords
    Boolean functions; computational complexity; learning systems; Boolean formulas; disjunctive normal form; equivalence queries; exact learning; membership queries; polynomial-time algorithm; protocol; read-twice DNF formulas; Computer science; Educational institutions; Inference algorithms; Polynomials; Prediction algorithms; Predictive models; Probability distribution; Protocols; Public key cryptography; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1991. Proceedings., 32nd Annual Symposium on
  • Conference_Location
    San Juan
  • Print_ISBN
    0-8186-2445-0
  • Type

    conf

  • DOI
    10.1109/SFCS.1991.185366
  • Filename
    185366