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Theory of Computing Systems

, Volume 33, Issue 1, pp 17–33 | Cite as

Learning Monotone Log-Term DNF Formulas under the Uniform Distribution

  • Y. Sakai
  • A. Maruoka

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.

Keywords

Uniform Distribution Normal Form Polynomial Time Learning Model Disjunctive Normal Form 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 2000

Authors and Affiliations

  • Y. Sakai
    • 1
  • A. Maruoka
    • 2
  1. 1.Department of Information and Computer Sciences, Faculty of Engineering, Toyo University, 2100 Kujirai, Kawagoe 350-8585, Japan sakai@cs.toyo.ac.jp JP
  2. 2.Graduate School of Information Sciences, Tohoku University, Sendai 980-8579, Japan maruoka@ecei.tohoku.ac.jpJP

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