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Information Theory
The aim of this chapter is to equip the reader with the mathematical instruments necessary for examining the information flow within the scientific...
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The EE Information Theory
The EE information theory or FI theory is about factual knowledge and about information in general. The basis for the FI theory consists of Ogden and...
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Information Theory of Blockchain Systems
In this paper, we apply the information theory to provide an approximate expression of the steady-state probability distribution for blockchain...
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A novel approach based on rough set theory for analyzing information disorder
The paper presents and evaluates an approach based on Rough Set Theory, and some variants and extensions of this theory, to analyze phenomena related...
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Robust model estimation by using preference analysis and information theory principles
Robust model estimation aims to estimate the parameters of a given geometric model, and then separate the outliers and inliers belonging to different...
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Information Theory on Change to Reflection
Information reflects the existence, basic characteristics, and movement states of matter in the world. In the information society, it is difficult...
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The Phenomenon of Insight in the Light of Information Theory
In an article based on the semantic theory of information developed by Yu.A. Schreider, the phenomenon of insight is considered. It is shown that...
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Brain works principle followed by neural information processing: a review of novel brain theory
The way the brain work and its principle of work has long been a big scientific question that scientists have dreamed of solving. However, as is...
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A systematic review of integrated information theory: a perspective from artificial intelligence and the cognitive sciences
The study of consciousness has gained momentum in recent years by the scientific community. In this same sense, the relationship between cognitive...
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An improved belief Hellinger divergence for Dempster-Shafer theory and its application in multi-source information fusion
Dempster-Shafer theory (DST), as a generalization of Bayesian probability theory, is a useful technique for achieving multi-source information fusion...
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Information theory divergences in principal component analysis
The metric learning area studies methodologies to find the most appropriate distance function for a given dataset. It was shown that dimensionality...
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A framework for the fusion of non-exclusive and incomplete information on the basis of D number theory
Uncertainty is of great concern in information fusion and artificial intelligence. Dempster-Shafer theory is a popular tool to deal with uncertainty,...
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Objective Information Theory
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in...
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A novel prospect-theory-based three-way decision methodology in multi-scale information systems
In an uncertain and complex decision-making environment, limited by the scope of human cognition, traditional utility decision-making has a certain...
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An ensemble pruning method considering classifiers’ interaction based on information theory for facial expression recognition
Ensemble learning combines all generated base learners for better generalization performance, but weak and redundant classifiers reduce the...
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Information Theory and Selected Applications
This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and...
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Information Security Theory and Practice 14th IFIP WG 11.2 International Conference, WISTP 2024, Paris, France, February 29 – March 1, 2024, Proceedings
This volume constitutes the refereed proceedings of the 14th IFIP WG 11.2 International Conference on Information Security Theory and Practices,...
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Information Theory Three Theorems by Claude Shannon
This book provides an introduction to information theory, focussing on Shannon’s three foundational theorems of 1948–1949. Shannon’s first two...
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Accurate and efficient planar near-field measurements: a new perspective from electromagnetic information theory
This letter introduces an interpolation and bandlimited signal extrapolation method to reconstruct the non-uniformly distributed samples with...
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Regret theory based three-way conflict analysis model under q-rung orthopair fuzzy information: studies with parameter and three-way decision-making-based approaches
In any conflict analysis model, agents are decision-makers (DMs). In reality, the regret psychology of DMs often influence decision outcomes due to...
