Results 21 to 30 of about 55,127 (292)
Entropy, 2023 A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and
Chenguang Lu
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Semantic information and the network theory of account [PDF]
Synthese, 2010 The article addresses the problem of how semantic information can be upgraded to knowledge. The introductory section explains the technical terminology and the relevant background. Section 2 argues that, for semantic information to be upgraded to knowledge, it is necessary and sufficient to be embedded in a network of questions and answers that ...
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On Quantifying Semantic Information
Information, 2011 The purpose of this paper is to look at some existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s ...
Simon D’Alfonso
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Semantic information and the correctness theory of truth [PDF]
SSRN Electronic Journal, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Correspondence Theory of Semantic Information
The British Journal for the Philosophy of Science, 2023 A novel account of semantic information is proposed. The gist is that structural correspondence, analyzed in terms of similarity, underlies an important kind of semantic information. In contrast to extant accounts of semantic information, it does not rely on correlation, covariation, causation, natural laws, or logical inference.
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Molecular codes in biological and chemical reaction networks. [PDF]
PLoS ONE, 2013 Shannon's theory of communication has been very successfully applied for the analysis of biological information. However, the theory neglects semantic and pragmatic aspects and thus cannot directly be applied to distinguish between (bio-) chemical ...
Dennis Görlich, Peter Dittrich
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Towards a Semantic Information Theory (Introducing Quantum Corollas)
CoRR, 2022 The field of Information Theory is founded on Claude Shannon's seminal ideas relating to entropy. Nevertheless, his well-known avoidance of meaning (Shannon, 1948) still persists to this day, so that Information Theory remains poorly connected to many fields with clear informational content and a dependence on semantics.
Philip Tetlow +6 more
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Semantic communications for future: basic principle and implementation methodology
Tongxin xuebao, 2023 The basic principle of semantic communications and the associated implementation methodology were introduced.First, the systematic model of semantic communications was proposed and basic concepts and terminology were deduced by comparing the fundamental ...
Ping ZHANG +3 more
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Semantic Information G Theory and Logical Bayesian Inference for Machine Learning
Information, 2019 An important problem in machine learning is that, when using more than two labels, it is very difficult to construct and optimize a group of learning functions that are still useful when the prior distribution of instances is changed.
Chenguang Lu
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Semantic applications for ontological information theory
Journal of Physics: Conference Series, 2021 Abstract Information theory is a field that has applications in several scientific domains. This field, which was initially proposed by Claude Shannon, is interdisciplinary; it combines probability, electrical engineering, information engineering, computer science, and statistics.
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