• DocumentCode
    3151801
  • Title

    Perceptrons, PP, and the polynomial hierarchy

  • Author

    Beigel, Richard

  • Author_Institution
    Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
  • fYear
    1992
  • fDate
    22-25 Jun 1992
  • Firstpage
    14
  • Lastpage
    19
  • Abstract
    The author constructs a predicate that is computable by a perceptron with linear size, order one, and exponential weights, but which cannot be computed by any perceptron having subexponential size, subpolynomial order, and subexponential weights. A consequence is that there is an oracle relative to which PNP is not contained in PP
  • Keywords
    computational complexity; neural chips; threshold logic; PP; exponential weights; linear size weights; oracle; order one weights; perceptron; polynomial hierarchy; predicate; Circuits; Complexity theory; Computational modeling; Computer science; Polynomials; Turing machines; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Structure in Complexity Theory Conference, 1992., Proceedings of the Seventh Annual
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-8186-2955-X
  • Type

    conf

  • DOI
    10.1109/SCT.1992.215376
  • Filename
    215376