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On learning branching programs and small depth circuits

Extended abstract
  • Francesco Bergadano
  • Nader H. Bshouty
  • Christino Tamon
  • Stefano Varricchio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1208)

Abstract

We study the learnability of branching programs and small-depth circuits with modular and threshold gates in both the exact and PAC learning models with and without membership queries. Our results extend earlier works [11, 18, 15] and exhibit further applications of multiplicity automata [7] in learning theory.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Francesco Bergadano
    • 1
  • Nader H. Bshouty
    • 2
  • Christino Tamon
    • 3
  • Stefano Varricchio
    • 4
  1. 1.Dipartimento di InformaticaUniversitá di TorinoItaly
  2. 2.Dept. Computer ScienceUniversity of CalgaryCanada
  3. 3.Dept. Mathematics and Computer ScienceClarkson UniversityUSA
  4. 4.Dipartimento di InformaticaUniversitá di L'AquilaItaly

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