Sentence examples for best parameter combinations from inspiring English sources

Experimental results show that, with only a small portion of subjects for training, the proposed method is able to produce more accurate and robust brain extraction results, at Jaccard Index of 0.956 +/- 0.010 on total 340 subjects under 6-fold cross validation, compared to those by the BET and BSE even using their best parameter combinations.

First, we have shown that synchronisation is possible and perhaps more efficient if the individual oscillators are damped (i.e. are not self-sustained) without an oscillatory neuropeptide concentration – 88% of the best parameter combinations corresponded to damped individual oscillators.

Furthermore, the simulational results of multi-physics coupling model on wire vibration show a good agreement with experimental data, and the influencing rules of processing parameters on wire vibration are also illustrated to seek the best parameter combination.

While the generalizability of our results may be limited, the methods we employed can be easily implemented by other scientists to determine the best parameter combination to analyze their data.

So the best parameter combination must be selected from the optima in all generations.

In this subsection, we briefly discuss the procedure for finding the best parameter combination in the training period, which is a multi-step optimization procedure.

After the specification of the best parameter combination in the training period, the sentiment strategy is applied in the test period, since an out-of-sample trading exercise should be a 'real test' of the performance of the strategy.

Again, we optimized the parameters C and ϵ (we used a 10-fold cross-validation repeated 2 times to select the best parameter combination in the inner loop) and trained a model for each of the n leave-one-out sets and predicted the external sample for each model.

We note that every program has its own set of parameters and fitting the best parameter combination for a particular dataset is a substantial effort.

The Mean Absolute Error (MAE) on test data unknown to the model with our best parameter combination was 0.09 (p < 0.0001, p was determined by re-training the model and cross validating datasets with shuffled affinity values).

For CD4 <50/µl (Figure 2, Part B) the 50 best-fitting parameter combinations that produced the best estimates of 6, 12, 18 and 24 month survival were similar to those in the higher CD4 strata.