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Note that this section requires variables defined in the previous section.
where stands for the latency associated to the individual sensor as defined in the previous section.
To shorten, we use the notations defined in the previous section.
Let (A_{gamma}^{0}) the matrix field defined in the previous section.
Both supervised and unsupervised recommendations are used as defined in the previous section.
The lemma refers back to the function H defined in the previous section.
Now, we go back to the CML algorithm defined in the previous Section.
Let K be the 281×281 kernel as defined in the previous Section.
For simplicity we take a primary mask defined in the previous section.
The repair rate (mu_{i,m}) depends upon the server status ('xi (tau ) = i',) defined in the previous section.
Table 1 compares the regional land use changes obtained from the experiments defined in the previous section.
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