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Though the parameterized iterative algorithm cannot directly be used in CR network because of the interference constraint, an algorithm, named branch and bound-aided mutual information optimization (BAMIO), was proposed in [14, 15] to optimize the precoding matrix in CR network.
In this article, a linear precoding matrix optimization algorithm, named gradient-aided mutual information optimization (GAMIO), is designed to maximize the secondary users' spectrum efficiency.
Second, in the case of spectrum efficiency, a new algorithm based on the gradient-aided mutual information optimization (GAMIO) is proposed.
The structural image was co-registered to the mean image using mutual information optimization, and segmented into gray matter, white matter and cerebrospinal fluid.
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In this study, we proposed a computational method, which combines nonlinear ordinary differential equation (ODE -based ODE -basedoptimizational information, to construct a cell-specific optimized IRN during IAV infection by integrating gene expression data with a prior knowledge of network topology.
To circumvent the drawback of the greedy approaches, we design a score function based on mutual information and present a numerical optimization approach to avoid being stuck in the local optima.
In this paper, a hybrid wavelet neural network (HWNN) model is developed for effectively forecasting monthly rainfall from antecedent monthly rainfall and climate indices by incorporating the multiresolution analysis (MRA), mutual information (MI) and particle swarm optimization (PSO) into artificial neural network (ANN) models.
Following a similar approach to [11], (5) can be shown to maximize the mutual information in (7)–(9), and the optimization over (5) leads to (3 -(4).
In this study, we proposed an improved opposition-based learning particle swarm optimization (IOBLPSO) with mutual information as its fitness function to detect SNP-SNP interactions.
Since our code optimization procedure is based on mutual information transfer through SCF nodes as computed in (17), we seek a computationally simple Gaussian approximation which yields the maximum mutual information I s → v ( 1 ) for the messages m s → v ( 1 ), for given μ v → s ( 2 ), α, and σ2.
In our work, image registration is treated as an optimization problem, which uses normalized mutual information as a similarity metric to align different image modalities of the same subject [25].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com