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Thus, decision alternatives can be generated by adjusting decision variable values within their solution intervals.
After adjusting decision rule of loss differentiation mechanism, we integrate timestamp-based available bandwidth estimation scheme into JSCTP congestion control mechanism.
There has been little research on possible means of adjusting decision thresholds and more applied research in this area is required.
In my opinion, such a finding would not necessarily detract from the dynamics idea, as overall ACC signal amplitude may play a role in adjusting decision threshold, which directly affects dynamics.
At the algorithmic level, a first solution is to re-balance the error rate by weighting each type of error with the corresponding cost [ 44] In the case of decision tree learning, other algorithmic solutions consist of modifying the splitting criterion [ 45], adjusting probabilistic estimates at the tree leaf or adjusting decision thresholds [ 46].
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Monitoring progress and adjusting decisions accordingly may help shift the focus as needed for future priorities.
The dashboard serves as a human computer interface and allows a decision maker to adjust decision variables and exchange information with the DSS.
Let us consider the problem of testing the hypothesis H 0 μ≤μ 0 versus the alternative H A :μ>μ 0. The first and second kind adjusted decision rules of the one-sided asymptotic Gauss test suggest to reject H 0 if T n,0>z 1−α(n)(s) for s=1 or s=2, respectively, where (T_{n,0}=sqrt {n}(bar {X}_{n}-mu _{0})/sigma ).
However, already in the Helsinki assessment a non-expert can adjust decision options and run the model online using a simple user interface.
Strategic Flexibility Framework (SFF) is a scenario analysis tool and its use in this study is based on the idea that Business Leaders, Managers, Educators and Human Resource Development professionals require flexibility to adjust decisions within given constraints.
Building on existing community resilience literature which highlights the importance of various socio-economic and political drivers for understanding community resilience, this paper analyses how economic, political, institutional, social, cultural and natural factors at community level affect the ability of communities to adapt and adjust decision-making pathways towards resilience.
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