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In some applications, in addition to scoring the database with information from active compounds, we can leverage information about compounds known to be inactive.
Second, (text {OAS}_{text {tg}}) is able to leverage information about realized node thresholds to achieve major gains in cascade size (while (text {OAS}_{text {mg}}) appears unable to extract value from this additional source of information).
Under the Linear Threshold model, traditional greedy seeding is able to powerfully leverage information about low- vs.-high thresholds even as knowledge about which specific pairs of nodes are adjacent becomes highly eroded.
ADMIXTURE and EIGENSOFT are unsupervised methods for performing ancestry inference, i.e., they do not leverage information about individuals of known ancestry to estimate their respective model parameters.
Several different methods are in current use for the study of genome wide variation of pathogens that, in contrast to human genetic association studies, can frequently leverage information about positive selection.
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The approach leverages information about a developer's task, as well as one of three metaheuristics, to suggest a set of refactorings that affect only the entities of the project in the developer's context.
The goal of this work is to provide a method to identify user roles in inter-personal communication dynamics, leveraging information about network topology and, in particular the community structure that characterizes online social networks like Facebook and Twitter [29], [30].
To improve on these limitations, this paper proposes an automated refactoring approach, ReCon (Refactoring approach based on task Context), that leverages information about a developer's task (i.e., the list of code entities relevant to the developer's task) and metaheuristics techniques to compute the best sequence of refactorings that affects only entities in the developer's context.
The current findings suggest that leveraging information about miRNA affiliation leads to an increased number of identified gene loci, as shown for all phenotypes in Table 2.
Recently an algorithm known as Hamiltonian Monte Carlo (HMC) has been shown to explore high-dimensional posterior distributions much more efficiently by leveraging information about the posterior's gradient, which guides the simulation to regions of high probability.
Cost : Once you have a fair idea about what your app should address, you could leverage information resources to answer your questions on the cost of developing an app.
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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