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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2019 Volume 23, Issue 4, Pages 115–124 (Mi ista250)

This article is cited in 2 papers

Part 3. Mathematical models

Using comparation queries in attribute-efficient learning of Boolean functions

A. V. Bistrigova


Abstract: We consider the problem of exact attribute-efficient learning functions of Post's closed classes with the help of comparation queries. Here, we show that the complexity of learning by comparation queries is not worse than by membership queries. Particularly, for some classes, if we use comparation queries, we get better value of complexity function.

Keywords: exact learning, attribute-efficient learning, membership queries, comparation queries, Post's closed classes.



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