Results 31 to 40 of about 10,692,124 (255)
Computational Journal of Mathematical and Statistical Sciences, 2022 The ”Akshaya distribution” is a model one-parameter continuous distribution that has been proposed by [15] for modelling lifetime data from biological research and engineering.
Ahlam. H. Tolba
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Geometric perspective on quantum parameter estimation [PDF]
AVS Quantum Science, 2019 Quantum metrology holds the promise of an early practical application of quantum technologies, in which measurements of physical quantities can be made with much greater precision than what is achievable with classical technologies.
Jasminder S. Sidhu, P. Kok
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Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
IEEE Transactions on Evolutionary Computation, 2020 Humans rarely tackle every problem from scratch. Given this observation, the motivation for this paper is to improve optimization performance through adaptive knowledge transfer across related problems.
K. Bali +3 more
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Abduction as Incomplete Parameter Estimation
tripleC: Communication, Capitalism & Critique, 2011 Abduction is a kind of logical inference, and has been studied in computer science and artificial intelligence (Fin- lay and Dix 1996). Recently, Sawa and Gunji (2010) introduced a diagram to represent three types of inference: i.e.
Moto Kamiura
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Adaptive finite-time parameter estimation for grid-connected converter with LCL filter
Frontiers in Energy Research, 2022 This study proposes an online finite-time adaptive parameter estimation method for grid-connected voltage source inverter (VSI) with LCL filter. In this framework, a time-continuous state-space system model is first developed, which is different from the
Xinze Xi +6 more
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Parameter estimation in stochastic differential equations [PDF]
, 2010 Financial processes as processes in nature, are subject to stochastic fluctuations. Stochastic differential equations turn out to be an advantageous representation of such noisy, real-world problems, and together with their identification, they play an ...
Abd.Rahman, Haliza +3 more
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CMB component separation by parameter estimation [PDF]
, 2005 We propose a solution to the CMB component separation problem based on standard parameter estimation techniques. We assume a parametric spectral model for each signal component, and fit the corresponding parameters pixel by pixel in a two-stage process ...
A. J. Banday +19 more
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An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models [PDF]
, 2017 The recent direct observation of gravitational waves has further emphasized the desire for fast, low-cost, and accurate methods to infer the parameters of gravitational wave sources.
Blackman, Jonathan +2 more
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Parameter Estimation in Stable Law
Risks, 2016 For general stable distribution, cumulant function based parameter estimators are proposed. Extensive simulation experiments are carried out to validate the effectiveness of the estimates over the entire parameter space.
Annika Krutto
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Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Entropy, 2021 Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
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