Skip to main content
Log in

Resource-Bounded Measure and Learnability

  • Published:
Theory of Computing Systems Aims and scope Submit manuscript

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 of whether the class of Boolean circuits is polynomial-time learnable.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

Received July 15, 1998, and in final form September 9, 1999.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lindner, W., Schuler, R. & Watanabe, O. Resource-Bounded Measure and Learnability. Theory Comput. Systems 33, 151–170 (2000). https://doi.org/10.1007/s002249910010

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s002249910010

Keywords

Navigation