12 May 2016 Hilbertian sine as an absolute measure of Bayesian inference in ISR, homeland security, medicine, and defense
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Abstract
In this paper, Bayesian Binary Sensing (BBS) is discussed as an effective tool for Bayesian Inference (BI) evaluation in interdisciplinary areas such as ISR (and, C3I), Homeland Security, QC, medicine, defense, and many others. In particular, Hilbertian Sine (HS) as an absolute measure of BI, is introduced, while avoiding relativity of decision threshold identification, as in the case of traditional measures of BI, related to false positives and false negatives.
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Tomasz Jannson, Tomasz Jannson, Wenjian Wang, Wenjian Wang, Juan Hodelin, Juan Hodelin, Thomas Forrester, Thomas Forrester, Volodymyr Romanov, Volodymyr Romanov, Andrew Kostrzewski, Andrew Kostrzewski, "Hilbertian sine as an absolute measure of Bayesian inference in ISR, homeland security, medicine, and defense", Proc. SPIE 9825, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XV, 98250L (12 May 2016); doi: 10.1117/12.2220832; https://doi.org/10.1117/12.2220832
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