Learning polynomials with queries: The highly noisy case

  • Authors:
  • O. Goldreich;R. Rubinfeld;M. Sudan

  • Affiliations:
  • -;-;-

  • Venue:
  • FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
  • Year:
  • 1995

Quantified Score

Hi-index 0.00

Visualization

Abstract

Given a function f mappping n-variate inputs from a finite field F into F, we consider the task of reconstructing a list of all n-variate degree d polynomials which agree with f on a tiny but non-negligible fraction, /spl delta/, of the input space. We give a randomized algorithm for solving this task which accesses f as a black box and runs in time polynomial in 1//spl delta/, n and exponential in d, provided /spl delta/ is /spl Omega/(/spl radic/(d.