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For instance, 6 = 5 + 1 only (we don't allow 3 + 2 + 1 or 3 + 3), and 20 = 13 + 5 + 2. Given any n, it's not difficult to find the appropriate breakdown, by using a greedy algorithm: first peel off the largest possible Fibonacci number as one summand, and repeat for what remains, until you are left with the smallest Fibonacci component.
In this work a starting solution for this problem is found by using a greedy algorithm.
With the training dataset, the deep networks are trained by using a greedy layer-wise training method [32].
Further improvements to time complexity were proposed by Williams et al. [9], by using a greedy algorithm while incorporating a simple curvature approximation.
Moreover, the eigenmodes (and accordingly the set S c of scheduled UEs and the transmission rank allocated to each UE k ∈ S c ) are selected by using a greedy iterative algorithm which, at each iteration, includes the eigenmode which maximizes the weighted sum rate R ̂ ( c ) among the ones not scheduled in the previous iterations.
Each bisphosphonate user was matched with a nonuser with the closest propensity score by using a greedy matching algorithm.
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After building such a linear model using standard linear regression techniques, the linear model can be simplified by removing irrelevant variables, using a greedy search procedure that tries to improve the model's estimated error rate.
Finally, we construct a global network alignment by picking those protein pairs with high alignment scores using a greedy method.
These anchors are calculated using a greedy depth-first search of the alignment graph ordered by consistency score, traversing the highest consistency edges first (Fig. 2).
The space of models is searched using a greedy algorithm.
These local skeletons are then directed using a greedy hill-climbing algorithm.
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Justyna Jupowicz-Kozak
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