Information Distance and Its Extensions

2011 ◽  
pp. 18-28 ◽  
Author(s):  
Ming Li
Keyword(s):  
Information Distance

Mining Hotspots from Multiple Text Streams Based on Stream Information Distance

2011 ◽  
Vol 22 (8) ◽  
pp. 1761-1770 ◽  
Author(s):  
Ning YANG ◽  
Chang-Jie TANG ◽  
Yue WANG ◽  
Yu CHEN ◽  
Jiao-Ling ZHENG ◽  
...  
Keyword(s):  
Information Distance ◽  
Text Streams

scholarly journals Fisher information distance: A geometrical reading

2015 ◽  
Vol 197 ◽  
pp. 59-69 ◽  
Author(s):  
Sueli I.R. Costa ◽  
Sandra A. Santos ◽  
João E. Strapasson
Keyword(s):  
Fisher Information ◽  
Information Distance

A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques Through Mutual Information, Distance Mapping, and Machine Learning

2018 ◽  
Vol 11 (2) ◽  
pp. 241-261
Author(s):  
Yoan Miche ◽  
Wei Ren ◽  
Ian Oliver ◽  
Silke Holtmanns ◽  
Amaury Lendasse
Keyword(s):  
Machine Learning ◽  
Mutual Information ◽  
Information Distance ◽  
Distance Mapping ◽  
The Impact

scholarly journals Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 874
Author(s):  
Niels B. Kammerer ◽  
Wolfgang Stummer
Keyword(s):  
Decision Making ◽  
Branching Processes ◽  
Mitigation Strategies ◽  
Optimal Decision ◽  
Information Distance ◽  
General Power ◽  
Leibler Information ◽  
Optimal Decision Making ◽  
And Diffusion ◽  
Different Levels

We compute exact values respectively bounds of dissimilarity/distinguishability measures–in the sense of the Kullback-Leibler information distance (relative entropy) and some transforms of more general power divergences and Renyi divergences–between two competing discrete-time Galton-Watson branching processes with immigration GWI for which the offspring as well as the immigration (importation) is arbitrarily Poisson-distributed; especially, we allow for arbitrary type of extinction-concerning criticality and thus for non-stationarity. We apply this to optimal decision making in the context of the spread of potentially pandemic infectious diseases (such as e.g., the current COVID-19 pandemic), e.g., covering different levels of dangerousness and different kinds of intervention/mitigation strategies. Asymptotic distinguishability behaviour and diffusion limits are investigated, too.

scholarly journals Nonapproximability of the normalized information distance

2011 ◽  
Vol 77 (4) ◽  
pp. 738-742 ◽  
Author(s):  
Sebastiaan A. Terwijn ◽  
Leen Torenvliet ◽  
Paul M.B. Vitányi
Keyword(s):  
Information Distance
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