• DocumentCode
    2149206
  • Title

    Resource bounded measure and learnability

  • Author

    Lindner, Wolfgang ; Schuler, Rainer ; Watanabe, Osamu

  • Author_Institution
    Abt. Theor. Inf., Ulm Univ., Germany
  • fYear
    1998
  • fDate
    15-18 Jun 1998
  • Firstpage
    261
  • Lastpage
    270
  • Abstract
    We consider the resource bounded measure of polynomial-time learnable subclasses of polynomial-size circuits. We show that if EXP≠MA, then every PAC-learnable subclass of P/poly has EXP-measure zero. We introduce a nonuniformly computable variant of resource bounded measure and show that, for every fixed polynomial q, any polynomial-time learnable subclass of circuits of size q has measure zero with respect to P/poly. We relate our results to the question whether Boolean Circuits are polynomial-time learnable
  • Keywords
    Boolean algebra; computational complexity; learning (artificial intelligence); Boolean Circuits; PAC-learnable subclass; learnable subclasses; polynomial-size circuits; polynomial-time; resource bounded measure; Circuits; Computer science; Cryptography; Ear; Particle measurements; Polynomials; Q measurement; Security; Size measurement; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 1998. Proceedings. Thirteenth Annual IEEE Conference on
  • Conference_Location
    Buffalo, NY
  • ISSN
    1093-0159
  • Print_ISBN
    0-8186-8395-3
  • Type

    conf

  • DOI
    10.1109/CCC.1998.694620
  • Filename
    694620