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The policy combination algorithm combines the effects of the sub-policies into the effect of the composed policy.
This further proves that our model combination algorithm can detect and combine structural segments with better qualities and refine the final model.
Finally, globally similar models and/or locally similar model fragments are combined using a novel model combination algorithm to generate refined models.
If no globally similar models were found, which was often the case for hard targets, a local model combination algorithm was used to combine the seed model with other locally similar models.
These predictors made predictions by ranking and combining a number of internal and external models via a novel global local model combination algorithm.
Each user-specified parameter combination (algorithm) was tested 100 times.
Figure 4 Workflow of the combination algorithm for UMN.
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Some other more complex combination algorithms have been proposed.
Combination algorithms have shorter reconstruction time than convex optimization algorithms but need more measurements, which are hardly satisfied in practice.
In this protocol, the combination algorithms at the relay and sources are presented in Algorithms 1 and 2, respectively.
In some cases, it is possible to turn these infeasible test formulas into feasible ones with smarter combination algorithms.
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