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Exact(11)
In the weighted average method, the weight is assigned to each expert.
In order to apply the improved method, the weight between node 2 and node 3 is assumed to be infinite.
The results reveal that with the proposed optimization method, the weight of composite structures could be further reduced.
There is a parameter in the proposed method: the weight ω c of the within-classes scatter matrix of the center region in (2).
In the first iteration of BIRLS method, the weight matrix is initialized to the identity matrix which means a regular LS is applied.
Finally, via the proposed weight value iterative method, the weight values of the training sample are converged, and the model with good predicting performance is obtained.
Similar(49)
In collocation method, the weighting functions are obtained from the family of Dirac δ functions in the domain.
In the proposed optimization method, the weights W i,s, W i−j,s also directly affect the optimization results.
In the subjective method, the weights of indicators were determined by expert scoring and AHP to avoid unreasonable weight assignment subjectively.
There are three main parameters involved in our method: the weights of the disease-protein connections, the weights of the protein-complex connections, and the restart probability in the random walk model.
In these methods, the weight of each factor index directly determines the accuracy to a certain extent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com