Results 261 to 270 of about 83,436 (308)

Minimum entropy and information measure

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1998
Kapur et al. (1995) introduced the MinMax information measure, which is based on both maximum and minimum entropy. The major obstacle for using this measure, in practice, is the difficulty in finding the minimum entropy. An analytical expression has already been developed for calculating the minimum entropy when only variance is specified.
Lin Yuan, H. K. Kesavan
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Entropy as a measure of database information

[1990] Proceedings of the Sixth Annual Computer Security Applications Conference, 2002
An estimate of the information a database contains and the quantification of the vulnerability of that database to compromise by inferential methods is discussed. Such a measure could be used to evaluate the deterrent value of extant protection methods and provide a measure of the potential for inferential compromise through the use of one of the known
Elizabeth A. Unger, Lein Harn, Vijay Kumar 0002   +2 more
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On a generic entropy measure in physics and information

2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009
We define a generalized entropy that measures the evenness of the distribution of the real non-negative elements of a multiset X . The approach is to determine a comparison multiset R which is in a precise sense equivalent to X and which contains only one distinct positive element, whose multiplicity k then yields the desired measure.
Michel S. Elnaggar, Achim Kempf
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New entropy type information measures

Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces, 2009
The target of his paper is to introduce new entropy type measures of information. The defined measure yields to an extension of the multivariate normal, the hyper multivariate normal ...
Christos P. Kitsos, Nikolaos K. Tavoularis   +1 more
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Entropy Measures and Views of Information

2016
Among the countless papers written by Ronald R. Yager, those on Entropies and measures of information are considered, keeping in mind the notion of view of a set, in order to point out a similarity between the quantities introduced in various frameworks to evaluate a kind of entropy.
Bouchon-Meunier, Bernadette, Marsala, Christophe   +1 more
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Information Entropy Model for Anonymity Measurement

2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013
Along with anonymous communications system being widely researched, anonymity measurement becomes more and more significant. However, there is still no desired mathematical model for this. In this paper, some necessary features for anonymity measurement model are analyzed and a dynamic model based on information entropy is proposed. Then some analyses,
Jun Ye 0012, Yong Ding 0005, Xin-Guo Li
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Information structures and entropy measurement for a fuzzy probabilistic information system

Journal of Intelligent & Fuzzy Systems, 2021
An information system (IS), an important model in the field of artificial intelligence, takes information structure as the basic structure. A fuzzy probabilistic information system (FPIS) is the combination of some fuzzy relations in the same universe that satisfy probability distribution.
Yanling He, Chunji Yao
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Entropies as measures of software information

Proceedings IEEE International Conference on Software Maintenance. ICSM 2001, 2002
This paper investigates the use of entropies as measures of software information content. Several entropies, including the well-known Shannon entropy, are characterized by their mathematical properties. Based on these characterizations, the entropies, which are suitable for measuring software systems, are rigorously chosen.
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Information and Entropy in Quantum Measurement Processes

International Journal of Theoretical Physics, 1998
Entropy of a physical system is one of the most important quantities in thermodynamics and statistical mechanics. Moreover, there is a relation between entropy and information shown by Szilard in 1929, and by Shannon in 1948. Quantum mechanical entropy was introduced by von Neumann in 1955, as \(S(\widehat \rho) =-Tr(\widehat \rho \ln \widehat \rho)\),
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