Results 71 to 80 of about 758,529 (345)
Shannon Entropy Analysis of Reservoir-Triggered Seismicity at Song Tranh 2 Hydropower Plant, Vietnam
Applied Sciences, 2022 The reservoir-triggered seismicity at the Song Tranh 2 reservoir in Vietnam is investigated by using Shannon entropy, a well-known informational method used to analyze complexity in time series in terms of disorder and uncertainty. The application of the
Luciano Telesca +4 more
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Frontiers in Immunology, 2021 Radiotherapy is known to influence immune function, including T cell receptor (TCR) repertoire. We evaluated the TCR repertoire before and after stereotactic body radiotherapy (SBRT) for stage I non-small-cell lung cancer (NSCLC) and explored ...
Lirong Wu +17 more
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Comparing Entropy and Beta as Measures of Risk in Asset Pricing
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 The paper establishes entropy as a measure of risk in asset pricing models by comparing its explanatory power with that of classic capital asset pricing model’s beta to describe the diversity in expected risk premiums.
Galina Deeva
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Polynomial Functors and Shannon Entropy
Electronic Proceedings in Theoretical Computer Science, 2023 In Proceedings ACT 2022, arXiv:2307 ...
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Deterministic Annealing Approach to Fuzzy C-Means Clustering Based on Entropy Maximization
Advances in Fuzzy Systems, 2011 This paper is dealing with the fuzzy clustering method which combines the deterministic annealing (DA) approach with an entropy, especially the Shannon entropy and the Tsallis entropy.
Makoto Yasuda
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Quantum query complexity of entropy estimation
, 2017 Estimation of Shannon and R\'enyi entropies of unknown discrete distributions is a fundamental problem in statistical property testing and an active research topic in both theoretical computer science and information theory. Tight bounds on the number of
Li, Tongyang, Wu, Xiaodi
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A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity [PDF]
Entropy, 2016 We investigate the properties of a Block Decomposition Method (BDM), which extends the power of a Coding Theorem Method (CTM) that approximates local estimations of algorithmic complexity based on Solomonoff–Levin’s theory of algorithmic probability ...
H. Zenil +5 more
semanticscholar +1 more source
Guesswork, Large Deviations, and Shannon Entropy [PDF]
IEEE Transactions on Information Theory, 2013 How hard is it guess a password? Massey showed that that the Shannon entropy of the distribution from which the password is selected is a lower bound on the expected number of guesses, but one which is not tight in general. In a series of subsequent papers under ever less restrictive stochastic assumptions, an asymptotic relationship as password length
Mark M. Christiansen, Ken R. Duffy
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Device-independent Shannon entropy certification
New Journal of PhysicsQuantum technologies promise information processing and communication technology advancements, including random number generation (RNG). Using Bell inequalities, a user of a quantum RNG hardware can certify that the values provided by an untrusted device
Robert Okula, Piotr Mironowicz
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