Sentence examples for algorithmic times from inspiring English sources

But in algorithmic times, "so" conveys an algorithmic certitude.

But in the algorithmic times that have come, "so" conveys an algorithmic certitude.

The hemline index posits that women's skirts rise in tandem with the stock market; perhaps Mahdavi is correct in thinking that an embrace of color corresponds to a desire for cheer amid anxiety, and for sensuality in algorithmic times.

This algorithm allows for an arbitrarily large algorithmic time step.

We show various algorithm designs via two distinct approaches based on the algorithmic time level consistency theorem, namely, the discrete total energy conservation method, and the classical and normalized time weighted residual methodologies; and therein draw comparisons among the various time-stepping algorithms and features.

This discrepancy between the manual review time and the automatically derived algorithmic time appears to be explained by inaccuracies in determining the time point for the end of the shock.

All data sets are provided in Additional file 1. Molecule size is a crucial factor with respect to the algorithmic search time.

These results could lead not only to optical seizure detection but also prediction with appropriate algorithmic real-time analysis of the OCT signal.

In terms of algorithmic running time (Table 1), parametric methods relying on normal or Student's t-distribution require few computations.

The global robustness and l 2−stability of the RLS algorithm was shown [34], corresponding results for the entire Gauss-Newton algorithmic family with time-variant forgetting factor 0<λ k <1 as well as memory factor 0<β k ≤1 are reported in [35], special results for least squares (LS) estimators including Kalman filters appeared in [36].

Although the idea of information granulation has been shown to be an essential concept and algorithmic pursuit in time series prediction, there is still an acute need for developing a sound conceptual framework for time series prediction so that information granulation can capture the essence of collections of data better, including average and trend information.