Learning monotone log-term DNF formulas under the uniform distribution

Y. Sakai, A. Maruoka

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Based on the uniform distribution PAC learning model, the learnability for the class of monotone disjunctive normal form formulas with at most O (log n) terms, denoted O (log n)-term MDNF, is investigated. Using the technique of restriction, an algorithm that learns O (log n)-term MDNF by examples in polynomial time is given.

Original languageEnglish
Pages (from-to)17-33
Number of pages17
JournalTheory of Computing Systems
Volume33
Issue number1
DOIs
Publication statusPublished - 2000 Jan 1
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computational Theory and Mathematics

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