Sentence examples for some parameter combinations from inspiring English sources

In the training period, the sentiment strategy also is the best performing strategy for some parameter combinations with a slightly negative mean.

In the training period, the sentiment strategy also generates slightly positive Sharpe ratios for some parameter combinations with a slightly negative mean.

In this way, it is demonstrated that for some parameter combinations, the dynamical system examined can exhibit more complicated and irregular response, including crises and intermittent chaos.

The first type involves the directly excited mode only, while for some parameter combinations the non-linear damping terms excite the second mode also, even when no internal resonance is present.

For some parameter combinations, however, this plateau rises to form a second outbreak of minor intensity.

In a nutshell, a model is sloppy if it is markedly more sensitive to some parameter combinations than to others.

It is interesting that the system can exhibit both the characteristic of 1 2 resonance and that of torus T2 under some parameter combination, and 2×T1 torus is also obtained.

It was found to happen for some parameters combinations as shown in Figure 2. Note that Rm can be quite large in some cases, e.g. Rm > 182 for N = 36, d = 1/100 (implying the threshold value /   3.94), and δ = 0.729, so the selective pressures at work could be efficient on a short time scale.

Nevertheless it appears to be a distinct entity under some of the parameter combinations that control the stringency of the match.

Except for some obviously too extreme parameter combinations (e.g. too negative gap parameters for global alignments), the classification performance was remarkably stable with recall values of up to 98% at a precision of 60% for miRNAs (Fig. 4).

It is important to recognize that there are indeed nonstandard hazard shapes achievable through specific (though often extreme) parameter combinations for some of these distributions.