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In essence, given the data D and a model with parameters θ and latent variables Z, the variational Bayes method is based on approximating the posterior distribution p(Z,θ|D) with a factorial approximation q(Z,θ|ϕ) = q(Z|ϕ Z )q, where ϕ are the variational parameters.
An approximate analytical solution is obtained, based on approximating the contact area by an ellipse.
In this paper, a novel channel equalizer algorithm has been developed based on approximating the BER by dominant terms.
It is based on approximating the true gradient of the squared error of estimation by its instantaneous estimate.
In order to do this, we outline the main steps of our algorithm based on approximating the problem using the SJ-GL-C method for spatial discretization.
A structure for synthesis of analog exponential functions, based on approximating the exponential function using rational functions, is proposed in[46].
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This contribution reviews and compares three possible strategies based on approximating (i) the model response, (ii) the inverse relationship between the model response and its parameters and (iii) an error function quantifying how well the model fits the data.
The approach is based on approximating nonlinearities by means of the first-harmonic Fourier series and carries out a first-harmonic balance of the system dynamics.
Hence, most of the available solutions are based on approximate methods, the most commonly used method being the finite element analysis.
The method, based on approximate reasoning, overcomes the uncertainties inherent to floristic databases, allowing environmental conservation efforts to benefit from these information sources.
The proposed method is a direct method based on approximate functions with the Bernstein Multiscaling polynomials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com