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In practice, such methods are very effective in reducing problem size; to handle the rare cases where the DEE techniques do not sufficiently prune the problem instance, we also develop a heuristic iterative scheme to eliminate sequence positions.
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Sensitivity analysis results and obtained meta-models can improve the efficiency of future optimization studies by pruning the problem space and shorten the computation time.
Novel speed-up techniques to efficiently compute the adaptive optimal strategy and methods to prune the search space of the problem are also investigated.
To design an efficient search algorithm, one needs to efficiently prune the parameter space and reduce the problem size.
One way to alleviate this problem is to prune the SNPs before analyses so that they are roughly independent.
If the city were to prune the root, it would create a stability problem in which the tree might fall, causing real problems.
We designed an exploratory approach using bounds on each sub-problem to efficiently prune the search tree and drastically reduce the number of solutions explored.
To overcome this problem, we improve MSR_PreTree to early prune the sub trees which produce non-significant rules.
The problem of creating a useful tree is to find suitable guidelines to prune the tree.
This problem, however, can be solved by breaking symmetries to prune the search space.
Who will prune the facade?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com