Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelligence and machine learning.
Fuad S. Alduais +2 more
wiley +1 more source
Bipartite separability of symmetric
Physica A: Statistical Mechanics and its Applications, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nayak, A.S. +3 more
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On the Uniqueness Theorem for Pseudo-Additive Entropies
Entropy, 2017 The aim of this paper is to show that the Tsallis-type (q-additive) entropic chain rule allows for a wider class of entropic functionals than previously thought.
Petr Jizba, Jan Korbel
doaj +1 more source
Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case
, 2020 A method of estimating the joint probability mass function of a pair of discrete random variables is described. This estimator is used to construct the conditional Shannon-Réyni-Tsallis entropies estimates. From there almost sure rates of convergence and asymptotic normality are established. The theorical results are validated by simulations.
Diadie, Ba Amadou, Samb, Lo Gane
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Integrable multi-phase thermodynamic systems and Tsallis' composition rule [PDF]
, 2014 We derive a class of equations of state for a multi-phase thermodynamic system associated with a finite set of order parameters that satisfy an integrable system of hydrodynamic type. As particular examples, we discuss one-phase systems such as the van
de Nittis, Giuseppe +5 more
core +1 more source
Separability of a family of one-parameter W and Greenberger-Horne-Zeilinger multiqubit states using the Abe-Rajagopal q-conditional-entropy approach [PDF]
, 2007 We employ conditional Tsallis q entropies to study the separability of symmetric one parameter W and GHZ multiqubit mixed states. The strongest limitation on separability is realized in the limit qâ, and is found to be much superior to the condition ...
Devi, A.R.U. +6 more
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On the thermodynamic stability conditions of Tsallis' entropy
Physics Letters A, 2002 Corrected some errors and typos. 7 pages, LaTeX2e, elsart, submitted to Phys.
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Weak chaos from Tsallis entropy
, 2012 We present a geometric, model-independent, argument that aims to explain why the Tsallis entropy describes systems exhibiting “weak chaos”, namely systems whose underlying dynamics has vanishing largest Lyapunov exponent.
Nikos Kalogeropoulos
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Quantum Machine Learning Applications to Medical Images: A Survey
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal +2 more
wiley +1 more source
Shear stress distribution prediction in circular channels using Tsallis entropy [PDF]
, 2016 Detailed knowledge of flow and shear stress distribution in channels is essential in accurately calculating the rates of sediment transport and deposition for geomorphic adjustment.
Bonakdari, H., Khozani, Z. Sheikh
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