We used MP-EST to produce the starting tree, and then ran five different iterations of DACTAL-boosting and SSG-boosting, using different subset sizes (from 15 to 22), and using different criteria (maximum pseudo-likelihood as computed by MP-EST or quartet support) to select the final tree.
Instead, the data suggests that the boosting technique leads to trees with better quartet support scores, and that using quartet support scores to select the best species tree might be helping these boosted versions of MP-EST to produce more accurate trees.
This research work presents a decision support system to select the optimal sustainability enhancement integrating the Delphi technique with the analytic hierarchy process and the VIKOR method.
This metric supports decision makers to select the option(s) that have the highest return.
Therefore, in varying channel conditions the antenna array can support antenna selection algorithms to select the best sub-set of elements to increase channel capacity.
The main page of oPOSSUM-3 lists each of the analysis methods offered as well as the species supported, allowing the user to select the appropriate combination.
In this study, we propose a scheme that enables a humanoid robot to perform cane-supported walking and to select the optimal cane usage depending on its condition.
Then, it iteratively scans the data to collect the support count in order to select the length- k+1) frequent sequences from the length- k+1equent sequences.
First, we used logistic regression in an information-theoretic framework (Burnham and Anderson 2002) to select the best supported scale for each individual variable.
For convenience, we use the greedy algorithm to select the support samples.
