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Intelligent systems. Theory and applications, 2020, Volume 24, Issue 3, Pages 63–97 (Mi ista275)  

This article is cited in 1 scientific paper (total in 1 paper)

Part 3. Mathematical models

Learning of Boolean fixed-weight functions

A. V. Bistrigova

Lomonosov Moscow State University
Full-text PDF (493 kB) Citations (1)
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Abstract: This paper is concerned with the learning complexity of Boolean fixed-weight functions using membership queries, comparation queries, equivalence queries, and extended equivalence queries. Moreover, it is allowed to use only one type of queries during learning. This paper gives exact values of learning complexity for all the types of queries besides comparation queries. The paper presents the upper bound on learning complexity for comparation queries. In addition, the paper demonstrates that the upper bound is equal to the lower bound for the 1-, 2-, 3-weight functions.
Keywords: Boolean fixed-weight functions, membership queries, comparation queries, equivalence queries, extended equivalence queries, exact learning.
Document Type: Article
Language: Russian
Citation: A. V. Bistrigova, “Learning of Boolean fixed-weight functions”, Intelligent systems. Theory and applications, 24:3 (2020), 63–97
Citation in format AMSBIB
\Bibitem{Bis20}
\by A.~V.~Bistrigova
\paper Learning of Boolean fixed-weight functions
\jour Intelligent systems. Theory and applications
\yr 2020
\vol 24
\issue 3
\pages 63--97
\mathnet{http://mi.mathnet.ru/ista275}
Linking options:
  • https://www.mathnet.ru/eng/ista275
  • https://www.mathnet.ru/eng/ista/v24/i3/p63
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Intelligent systems. Theory and applications
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    Abstract page:115
    Full-text PDF :76
    References:18
     
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