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ALGORITHMIC INFORMATION THEORY [PDF]
, 2008 We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain the main concepts of this quantitative approach to defining `information'. We discuss the extent to which Kolmogorov's and Shannon's information theory have a common purpose, and where they are fundamentally different.
Grünwald, P.D., Vitányi, P.M.B.
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Dataset for file fragment classification of image file formats
BMC Research Notes, 2019 Objectives File fragment classification of image file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with image formats.
Reyhane Fakouri, Mehdi Teimouri
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Application of information theory in systems biology
Biophysical Reviews, 2020 Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon’s information theory, is a basic and powerful tool that can be applied to various fields, such as ...
Shinsuke Uda
semanticscholar +1 more source
Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011 [PDF]
Atmospheric Chemistry and Physics, 2017 In the fall of 2011, iodine-131 (131I) was detected at several radionuclide monitoring stations in central Europe. After investigation, the International Atomic Energy Agency (IAEA) was informed by Hungarian authorities that 131I was released from the
O. Tichý +5 more
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Energy Scheduling for a DER and EV Charging Station Connected Microgrid With Energy Storage
IEEE Access, 2023 Microgrids are an effective solution to decentralize electrical grids and improve usage of distributed energy resources (DERs). Within a microgrid there are multiple active players and it can be computationally expensive to consider all their ...
Kiraseya Preusser, Anke Schmeink
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LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination [PDF]
Geoscientific Model Development, 2016 Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or ...
O. Tichý +3 more
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Adaptive slices for acquisition of anisotropic BRDF
Computational Visual Media, 2018 BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of anisotropic BRDF, based on sparse adaptive measurement of the complete four-
Radomír Vávra, Jiří Filip
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An Optimality Summary: Secret Key Agreement with Physical Unclonable Functions
Entropy, 2020 We address security and privacy problems for digital devices and biometrics from an information-theoretic optimality perspective to conduct authentication, message encryption/decryption, identification or secure and private computations by using a secret
Onur Günlü, Rafael F. Schaefer
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PyPhi: A toolbox for integrated information theory [PDF]
PLoS Comput. Biol., 2017 Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system. Here, we introduce PyPhi, a Python software package that implements this framework for causal analysis and unfolds the ...
Will Mayner +5 more
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