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We have used the parameter values recommended/used by the authors.
For the numerical results, we used the parameter values in Table 1 [22].
We used the parameter pair that best fits the observed SYM-H for the November 2004 storm.
For a numerical simulation of the proposed model, we used the parameter values given in Table 1.
For each base classifier and data set we have used the parameter combinations that achieved the best results.
To compute the train-train and train-test kernel matrices, we used the parameter free Χ 2 kernel for all features.
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We used the parameters illustrated in Eqs.
The analysis used the parameters listed in Table 1.
We have used the parameters specified in (b).
We also used the parameters GENSBACK = 2 and MIGRPRIOR = 0.05.
In the second approach, we used the parameter-rich GTR + Γ model ([ 61] i.e., estimated proportion of invariant sites = 0.0147) in a Bayesian inference as described above to calculate posterior probabilities for nodes in the intron tree.
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