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Many business managers say that they value analytics and take data into consideration when making decisions.
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A successful business career requires the ability to deal with a variety of situations, utilizing analytical skills and taking data into consideration to help guide decision-making.
In contrast to previous dictionary learning approaches utilizing sparse representation techniques, which did not (or only partially) take data locality into consideration, our algorithm is able to produce a more representative dictionary and thus achieves better performance.
Typical high performance computing systems did not take data locality into consideration as they used to focus on performing CPU-intensive computations over a moderate to medium volume of data (Assuncao et al. 2015), where the ratio of data transfer between the computing units to processing time is still small.
However, taking data size into consideration, some data and their replications will soon occupy most of storage space and prevent other data from being relayed.
To take both data into consideration, we develop an integrated bi-level model to accommodate for both fuzzy and stochastic data, which we appropriately call fuzzy-stochastic bi-level model (FSBLP).
Will the Fed take this data into consideration?
First, their model does not take public data into consideration.
Future work screening xenobiotics for toxicologic effects as well as drug drug interactions should take these data into consideration.
We decided to take the data into consideration, especially for those included in the S. suis MLST Database, since the number of cases used for this review would otherwise have been highly limited.
Furthermore, previous prognostic models have not taken laboratory data into consideration, although laboratory data are useful indicators of patient prognosis for some malignancies 3, 6– 9, 11.
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CEO of Professional Science Editing for Scientists @ prosciediting.com