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Often it is hard to tell which approach a data store uses internally to achieve check and set functionality based solely on the system documentation.
As a consequence of such approach, a data block can be lost not only in the radio interface because of unfavorable radio conditions but also due to transport network losses or excessive delays.
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Subsequently, based on the structure of the model-based approach, a data-driven reinforcement learning method is derived, which only requires the sampling data from real system with different control inputs rather than the accurate mathematical system models.
In this context the approach a data-based observability analysis is introduced.
For the second application of the novel approach, a data-based model of JAK2-STAT5 signaling pathway (Swameye et al., 2003) was investigated.
In this paper, we propose a new approach adopting a data mining point of view.
Compound features are learned in a weakly-supervised approach using a data mining algorithm.
The novelty here is to apply this approach to a data set of multiple sequences.
This approach provided a data set without significant base composition variation (p > 0.05).
An intersection between their system-related approach and a data-related approach can be seen within their work on confidentiality and integrity of data [14].
AirCell is taking a terrestrial approach, transmitting data from a plane to a collection of 80 towers (expanding to 100).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com