Sentence examples for deterministic metrics from inspiring English sources

Although it might be possible to reweight our input data, interpret them as empirical probability distributions, and construct affinity scores similar to Lin et al. (2013) or Setlur and Stone (2016), we instead constructed deterministic metrics, which have similar qualitative properties but have a more natural interpretation in the context of our input data.

In this work, probabilisitic and deterministic error metrics were evaluated for the two methods.

Overall, CA showed slightly higher skill than NA in terms of the metrics for deterministic forecasts, while for probabilistic forecasts NA showed higher skill than CA regarding the BSS in five categories (terciles, and 10th and 90th percentiles) and lower skill than CA regarding the LEPS skill score.

Hindcasts are evaluated using deterministic and probabilistic forecast verification metrics.

The generated PF by the stochastic approach is compared to a deterministic PF using well-known performance metrics.

In Section 6.2, we derive the global metrics for an overall deterministic network scenario, where the nodes are equally spaced in the interval (0, L).

In most cases, he said, heredity is not so deterministic.

At this point, it should be noticed that AWPP comes to provide weighted traffic differentiation proportional to traffic priority and rate allowing the analytical estimation of the network metrics and generally a more deterministic behavior.

Finally, it tests the "responsiveness" to multiple performance metrics by applying a non-deterministic exploration method for the stochastic rotation of individual panels.

To ensure that the simulations have reached equilibrium, we choose a run time (150 time steps, or wild population generations) well past the equilibrium point for any combination of parameter values (e.g., the time to 50% equilibrium under the default parameter values is 31 time steps) and present the metrics at the last time step for deterministic simulations (constant spillover).

The model also predicts much of the variation in these metrics for a tree of a given species and size, resulting solely from deterministic responses to variation in stand structure.