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These algorithms run in the design (offline) phase without user interaction.
The computation of the variable-separation method decomposes into offline phase and online phase.
In the offline phase, the BGK equation is sampled in order to collect information on the density distribution function.
The execution of the true flash calculation has been shifted from the online phase during the simulation to the offline phase before the simulation.
In the ESSEM framework, ensemble models are built in the offline phase to characterize specific environments based on local statistics prepared from those particular conditions.
We show that the Snake Table improves the efficiency of k-NN searches in these systems, avoiding the building of a static index in the offline phase.
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However, in the streaming case, most clustering algorithms follow the online-offline-phases model.
The basis computation and the computation of these reduced system components is performed once and parameter-independently in the offline-phase.
(2) Offline scheduling phase: during this phase, an execution pattern which does not jeopardize the schedulability of the cores for the migrating task τ 1 is found.
Fig. 4 Overall localization algorithm, including an offline training phase, an online localization phase, and a Bayesian filtering phase.
All datasets are available as an open-source project at https://github.com/Pekin2Paris/GSM-indoor-localization. Figure 4 depicts the complete location estimation algorithm, which consists of an offline training phase, an online localization phase, and a post-processing (Bayesian filtering) phase.
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