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The second algorithm, which is more efficient, is also optimized to discover the set of maximal FRACTUREs.
Wang et al. [30] propose to use an unsupervised learning approach to discover the set of action classes present in a large collection of training images.
High-utility itemset mining (HUIM) is an extension of frequent-itemset mining (FIM) but considers the unit profit and quantity of items to discover the set of high-utility itemsets (HUIs).
The aim was to discover the set of parameter values (kinetic constants, gi and rate constants, γi) that yields a reduced, minimum value of the parasite load, both during the time of infection evolution and at the final, 24-week stage.
In the future, various tree-searching heuristics and the branch-and-bound algorithm may be added, but it will be important to retain near-optimal trees as the main application of CDMS is to facilitate the visual exploration of alternative hypothetical cost-effective combinations of clinical options, and not necessarily to discover the set of globally optimal combinations.
In conclusion, our approach requires O((m + n logmin{ m, n}loglogmin{ m, n}) time and O(m + n) space to discover the set of all underlying subwords U s 1, s 2. In this section we discuss the extension of the algorithmic structure discussed above to accommodate also inversion and complement matches.
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It first discovers the set of maximal frequent paths and then it finds the tree patterns by joining the paths.
However, an open research problem is discovering the set of gamification features that consistently result in a higher probability of success for a given task, game or application.
Therefore, discovering the set of molecular interactions that are active in a given cellular context is a fundamental question in computational systems biology [7].
This method discovers the sets of genes that have the greatest effect in the dataset by selecting the most suitable mutation and crossover operators.
The aim is to discover the minimal set of drug targets that are able to affect a user-specified set of genes in a multi-pathway environment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com