Results 41 to 50 of about 746,393 (307)
A Critical Analysis of Floridi’s Theory of Semantic Information [PDF]
, 2010 In various publications over the past years, Floridi has developed a theory of semantic information as well-formed, meaningful, and truthful data. This theory is more or less orthogonal to the standard entropy-based notions of information known from ...
Adriaans, P., Pieter Adriaans
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General theory of information transfer
Electronic Notes in Discrete Mathematics, 2005 Abstract We report on ideas, problems and results, which occupied us during the past two decades and which seem to extend the frontiers of information theory in several directions. The main contributions concern information transfer by channels. There are also new questions and some answers in new models of source coding.
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Information Measures for Generalized Order Statistics and Their Concomitants under General Framework from Huang-Kotz FGM Bivariate Distribution [PDF]
, 2021 In this paper, we study the concomitants of dual generalized order statistics (and consequently generalized order statistics) when the parameters γ1,…,γn are assumed to be pairwise different from Huang–Kotz Farlie–Gumble–Morgenstern bivariate ...
Salem A. Alyami +3 more
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General Theory of Information and Mindful Machines
ProceedingsAs artificial intelligence advances toward unprecedented capabilities, society faces a choice between two trajectories. One continues scaling transformer-based architectures, such as state-of-the-art large language models (LLMs) like GPT-4, Claude, and ...
Rao Mikkilineni
doaj +1 more source
No-free-information principle in general probabilistic theories [PDF]
Quantum, 2019 In quantum theory, the no-information-without-disturbance and no-free-information theorems express that those observables that do not disturb the measurement of another observable and those that can be measured jointly with any other observable must be trivial, i.e., coin tossing observables.
Teiko Heinosaari +2 more
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A General Theory of Information and Computation
CoRR, 2016 This paper fills a gap in our understanding of the interaction between information and computation. It unifies other approaches to measuring information like Kolmogorov complexity and Shannon information. We define a theory about information flow in deterministic computing based on three fundamental observations: 1) Information is measured in ...
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
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Partially smoothed information measures [PDF]
, 2018 Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and cryptography. In typical bi- and multi-partite problems, however, some of the sub-systems are often left unchanged and this is not reflected by the ...
Jain, Rahul +3 more
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The Information Content of Systems in General Physical Theories [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 What kind of object is a quantum state? Is it an object that encodes an exponentially growing amount of information (in the size of the system) or more akin to a probability distribution? It turns out that these questions are sensitive to what we do with the information. For example, Holevo's bound tells us that n qubits only encode n bits of classical
Lee, Ciarán M., Hoban, Matty J.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
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