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Intelligent systems. Theory and applications, 2020, Volume 24, Issue 3, Pages 63–97
(Mi ista275)
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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
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.
Citation:
A. V. Bistrigova, “Learning of Boolean fixed-weight functions”, Intelligent systems. Theory and applications, 24:3 (2020), 63–97
Linking options:
https://www.mathnet.ru/eng/ista275 https://www.mathnet.ru/eng/ista/v24/i3/p63
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