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Fourthly, we used multiple starting points, which means that the computations started with different initial values.
A trade-off can be reached by using the standard technique with multiple starting points originated from the possible operation sequences.
Since the starting point is dependent on the treatment sequence, all possible treatment sequences are considered and thus multiple starting points are generated.
We also considered that, in timeframes greater than 1 min, there may be multiple starting points from which the training set can begin.
Numerical maximum likelihood estimation was performed using simulated annealing run from multiple starting points to ensure the global optimum was obtained.
As a useful tool we suggest the use of the R rotine multiStart of R package BB (for solving and optimizing large-scale nonlinear systems) for dealing with multiple starting points to obtain multiple solutions and to test sensitivity to starting values.
Similar(43)
Each model has multiple start points which are the locations where the trains enter the system.
Thus, multiple authorities give us multiple start points but could also present different MoLFunC matrices in the end.
This gives rise to multiple start points to search in sequence space for each superfamily.
We address the importance of multiple start points (queries) to achieve high coverage at protein superfamily level.
By incorporating a swarm framework, the algorithm searches the solution space from multiple start points (different logic trees) instead of continuing to apply modifications on one logic tree.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com