Improved Bounds on the Moments of Guessing Cost
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Date
2022
Authors
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Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Guessing a random variable with finite or countably infinite support in which each selection leads to a positive cost value has recently been studied within the context of "guessing cost". In those studies, similar to standard guesswork, upper and lower bounds for the rho-th moment of guessing cost are described in terms of the known measure Renyi's entropy. In this study, we non-trivially improve the known bounds using previous techniques along with new notions such as balancing cost. We have demonstrated that the novel lower bound proposed in this work, achieves 5.84%, 18.47% higher values than that of the known lower bound for rho = 1 and rho = 5, respectively. As for the upper bound, the novel expression provides 10.93%, 5.54% lower values than that of the previously presented bounds for rho = 1 and rho = 5, respectively.
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ORCID
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Turkish CoHE Thesis Center URL
Fields of Science
0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Arslan, S.S., and Haytaoglu, E. ( June 2022) Improved Bounds on the Moments of Guessing Cost. 2022 IEEE International Symposium on Information Theory (ISIT), vol. 2022. pp. 3351-3356. https://doi.org/10.1109/isit50566.2022.9834714
WoS Q
N/A
Scopus Q
Q3

OpenCitations Citation Count
1
Source
IEEE International Symposium on Information Theory (ISIT) -- JUN 26-JUL 01, 2022 -- Espoo, FINLAND
Volume
2022
Issue
Start Page
3351
End Page
3356
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Citations
Scopus : 1
SCOPUS™ Citations
1
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Page Views
155
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26
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