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

Intelligent systems. Theory and applications, 2016 Volume 20, Issue 2, Pages 121–146 (Mi ista129)

This article is cited in 4 papers

Attribute-efficient learning functions of k-valued logic

A. V. Bistrigova

Lomonosov Moscow State University

Abstract: An attribute-efficient learning linear functions of k-valued logic in exact learning model is considered in this work. Here we obtain the upper and lower bounds for two types of queries: value queries and comparative queries. Also the complexity of learning linear boolean functions of 2 or 3 relevant variables was obtained. The order of complexity of learning functions was obtained for both types of queries when the number of variables tends to infinity.

Keywords: exact learning, linear functions of k-valued logic, value queries, comparative queries.



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