Sentence examples for takes over data from inspiring English sources

Data modeling takes over data collection not only because modeling regularizes noisy data but also because modeling takes into account global parameters such as the minimization of global distortion or variance.

The developed hardware modules were designed to take advantage of ATCA specification's redundancy features, namely at the hardware management level, including support of: (i) multiple host operation with N + 1 redundancy – in which a designated failover host takes over data previously assigned to a suddenly malfunctioning host and (ii) N + 1 redundancy of I/O and data/timing switch modules.

The company is building new facilities and has raised its headcount considerably since K.K.R. took over – data points that are clearly central to the lobbying group's effort to reverse the political narrative on private equity, which has been damaged by attacks on Mitt Romney's record at Bain Capital.

The office will take over data and information management archive activities from the National Environmental Satellite, Data, and Information Service, which has been renamed the National Environmental Satellite Service.

In 2006 a clinical research organisation (Parexel) took over data collection and statistical analysis, overseen by an independent scientific advisory group.

Before the Deep Thunder computer takes over, though, data must be collected.

In an essence, our application takes over a data stream between a cloud application and an operating system.

In our algorithm, like in BFR, primary data compression will be followed by a secondary data-compression, which takes place over data points in the Retained Set (RS), not compressed in the primary phase.

where the maximum on the left-hand side and the minimum on the right-hand side of this condition are taken over all moving data windows.

The error is computed as E, where the expectation is taken over the testing data.

The estimation θ ^ (r ) is defined by inverting the average hemispheric difference λ ¯ = E [ λ (r ) | θ ], where the expectation is taken over the training data.