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A data-driven, theory-based metric to calculate relative need for geographic areas and geographically-bounded special populations can be developed and used.
Data-driven subspace system identification techniques developed from control theory provide a rich set of analytical tools to estimate state-space models of structural systems.
Data-driven Financial Econometrics.
Data-driven A&R.
Data-driven RASTA Filters in Reverberation.
Data-driven decision-making.
Data-driven clustering.
Data-driven sensor calibration.
Data-driven creativity has to go deeper.
Based on data driven modeling theory, PVC polymerization process modeling and intelligent optimization control algorithm is studied.
We acknowledge the seeming dilemma inherited in the study; phenomenological studies are by definition data-driven whereby one should refrain from projecting own theories.
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