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Issue title: Discrete Mathematics (RuFiDiM 14)
Guest editors: J. Karhumäki, V. Mazalov and Yu. Matiyasevich
Article type: Research Article
Authors: Junnila, Ville* | Laihonen, Tero
Affiliations: Department of Mathematics and Statistics, University of Turku, FI-20014 Turku, Finland. [email protected]; [email protected]
Correspondence: [*] Address for correspondence: Department of Mathematics and Statistics, University of Turku, FI-20014 Turku, Finland
Abstract: Information retrieval in associative memories was considered recently by Yaakobi and Bruck. In their model, a stored information unit is retrieved using input clues. In this paper, we study the problem where at most s (s ≥ 0) of the received input clues can be false and we still want to determine the sought information unit uniquely. We use a coding theoretical approach to estimate the maximum number of stored information units with respect to a given s. Moreover, optimal results for the problem are given, for example, in the infinite king grid. We also discuss the problem in the class of line graphs where a characterization and a connection to k-factors is given.
Keywords: Information retrieval, associative memory, robustness, Johnson bound, k-factor
DOI: 10.3233/FI-2016-1359
Journal: Fundamenta Informaticae, vol. 145, no. 3, pp. 243-256, 2016
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