Sentence examples for opportunity of data from inspiring English sources

Exact(1)

If there are n communication agents, they are game players; the player k (0 ≤ k ≤ n) contends for the opportunity of data transmission with probability q k (i. e., q k  ∈ S k ) in a time slot where 0 ≤ q k  ≤ 1.

Similar(59)

We first review the challenges and opportunities of data mining tasks using crowdsourcing, and summarize the framework of them.

This is followed by a brief overview of related work, illustrating the power and opportunities of data mining, from sources that are not necessarily related to epidemic modeling.

It should be considered that the flip side of information availability is an opportunity of the data abuse.

But in this new era of programmatic media where data-driven marketing is in vogue, creative people are now faced with the opportunity of employing data for their benefit.

The research illustrates the opportunity of recovering data making a prediction by means of Kriging techniques.

During the 2003 04 influenza season, we recognized the opportunity of using data from this ongoing active surveillance to estimate influenza vaccine effectiveness in protecting against both laboratory-confirmed influenza and febrile respiratory illness of any cause among US military basic trainees.

This section introduces a rational method of epidemic modeling that takes advantage of opportunities for data mining of readily available data and what we call Discrete-Space Scheduled Walkers.

The multitudes in data science "With our scale at Change.org, I see a lot of opportunity for data science to help users make an impact, and for our platform to gather more insight into what drives a movement and who we need to help," Andy said.

Stepped wedge designs offer a number of opportunities for data analysis, particularly for modelling the effect of time on the effectiveness of an intervention.

This combined with a new focus on discovery science is creating a plethora of opportunities for data scientists from a wide range of disciplines such as computer science, engineering, mathematics, statistics, etc., to make substantial contributions to neuroscience.

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