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(a) Query-driven approximation For an expensive query class (mathcal{Q}), we can approximate its queries by adopting a cheaper class (Q') of queries.
Another example is to compute top-k diversified answers for queries of (mathcal{Q}), instead of computing the entire set Q G) of answers [86] (see [92] for details of query-drive approximation).
(2) Data-driven Approximation For each class (mathcal{Q}) of graph queries of users' choice, one can develop a data-driven approximation algorithm.
(d) Parallel query processing (mathsf {RESOURCE}) can be built on top of a parallel graph query engine and hence combine parallel query processing with bounded evaluation and data-driven approximation.
These days it's possible to drive an approximation of much of the journey by following U.S. 101.
Due to involvement of high-order transfer functions in dynamic models of individual motor drive systems, Pade approximation is used as a useful tool in the aggregation process.
The dynamics of pan/tilt system can thus be proved to be a stable first-order filter driven by function approximation errors.
The fragmentation of a distinct chemical compound is not a unique and objective procedure but only an adequate approximation driven by experience and chemical intuition.
The proposed method utilizes the structure dynamics approximation of drive mechanisms that converts the electromechanical model of an STFS into a structure dynamic model with elastic boundary conditions.
Also, in that section, we withdrew the claim of "rescuing Hall", and instead discuss the differences between our formal elaboration and the original theory (Namely, orosensory-based approximation of drive-reduction, and integration with an RL module).
The SLLM is driven by initial approximations f 0 = η + e − η + f w − 1, p 0 = 1 − e − η, θ 0 = ϕ 0 = e − η, which are chosen so that they satisfy boundary conditions (11) and (12).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com