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Data generation methods vary depending on who generates the data, how and when it is gathered and subsequently how is it used for an interview.
The provider generates the data packet and sends back to the consumer.
The provider generates the data packet including the content and sends back to the consumer through the selected forwarder vehicle.
Multiple Kernel Learning (MKL) algorithms deals with learning the optimal kernel from training data along with learning the function that generates the data.
In such applications, it is critical to protect the location of the source sensor that generates the data, as exposure of this information usually reveals the location of the object being monitored.
The link between the decision and the true implicit system that generates the data (measurement system, production process, category of samples, etc). is a representation of this uncertainty as a probability distribution.
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The GTEx Consortium generated the data.
H.J. and B.A. generated the data.
KB, GP, AKG, YK, and MU generated the data.
I.G., K.A., S.Z., R.G.C., and J.T. generated the data.
The testing company generated the data at no charge.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com