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It has been seen that such a uniform rate allocation results in a performance degradation of around 5 dB in terms of SINR compared to a nonuniform allocation obtained using a greedy optimization approach.
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The Louvain method of community detection [ 15] uses a greedy optimization method to maximize the modularity and determine the most favorable division of network into communities.
DIALIGN-T is a segment-based approach, which uses a greedy optimizations procedure for multiple sequence alignment [ 56].
The hyperparameters of these multiple sparse priors are optimized using a greedy search.
The optimization of the parameters was performed using a greedy method based on Monte Carlo simulation the detailed algorithm is described in Supplementary Material.
(3) Minimize the global normalized cut using a greedy strategy.
In this work a starting solution for this problem is found by using a greedy algorithm.
The space of models is searched using a greedy algorithm.
These local skeletons are then directed using a greedy hill-climbing algorithm.
The solution can also be parallelized (fourth technique) using a greedy algorithm.
They were matched 1-to-3 according to age and gender using a greedy algorithm.
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