Results 1 to 10 of about 8,703,712 (260)
Information content of turbulence [PDF]
8 pages, 9 ...
Cerbus, Rory, Goldburg, Walter
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Information theory based on nonadditive information content [PDF]
We generalize the Shannon's information theory in a nonadditive way by focusing on the source coding theorem. The nonadditive information content we adopted is consistent with the concept of the form invariance structure of the nonextensive entropy. Some general properties of the nonadditive information entropy are studied, in addition, the relation ...
A. K. Rajagopal +25 more
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'By the People' Crowdsourcing Datasets from the Library of Congress
The 'By the People' ('BTP') datasets comprise text of selected collections of the Library of Congress (LOC) created by volunteers in the 'By the People' crowdsourced transcription program, which invites public transcription of historical documents.
Victoria Van Hyning +6 more
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Investigating the Artist’s Role in Social Group Games [PDF]
Social interactions are a key objective in cultural experience design and museum games are often aimed to fosterconversations between visitors. However, the participation of cultural creators is hardly explored.
M. Vayanou +4 more
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Distributed reinforcement learning based framework for energy-effcient UAV relay against jamming
Unmanned aerial vehicle (UAV) network is vulnerable to jamming attacks, which may cause severe damage like communication outages. Due to the energy constraint, the source UAV cannot blindly enlarge the transmit power, along with the complex network ...
Weihang Wang +4 more
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INFORMATION CONTENTS OF DISTRIBUTIONS [PDF]
The entropy, as usually defined, is a measure of our ignorance and, if multiplied by — 1, can be considered as a measure of our knowledge of the state of a system.1 It is a measure of our total knowledge into which the knowledge of the value of any observable enters in the same way (cf. section 3).
Wigner, Eugene P., Yanase, M. M.
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A review of feature fusion-based media popularity prediction methods
With the popularization of social media, the way of information transmission has changed, and the prediction of information popularity based on social media platforms has attracted extensive attention.
An-An Liu +7 more
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An Operator-Based Approach for Modeling Influence Diffusion in Complex Social Networks
Social media have dramatically changed the mode of information dissemination. Various models and algorithms have been developed to model information diffusion and address the influence maximization problem in complex social networks.
Chenting Jiang +4 more
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Reinforcement learning based energy-efficient internet-of-things video transmission
The video transmission in the Internet-of-Things (IoT) system must guarantee the video quality and reduce the packet loss rate and the delay with limited resources to satisfy the requirement of multimedia services.
Yilin Xiao +5 more
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