Sentence examples for significantly forecasting from inspiring English sources

Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference.

As predicted, relational teaching evaluations and positive affect in response to trailers significantly forecasted evaluations of live lectures (Table 2).

Upmarket estate agent Savills warned yesterday that profits for 2008 would be "significantly" below forecast as the housing market continues to be clobbered by the credit crunch.

Important characteristics include short dispatch intervals and short delay times from scheduling to dispatch, significantly reducing forecast errors and the amount of balancing reserves required.

In contrast, the combined use of mass and flux constraints significantly improved forecast performance in six events relative to all other implementations, while the remaining two events showed no significant difference in performance.

Based on examination of various verification metrics, we determine that a bias corrector that uses a linearly-weighted combination of past errors calculated over a three-day moving window is able to significantly improve forecast quality for the flashy case study watershed in southwestern British Columbia, Canada.

Data from the shoebox-sized satellites, exploiting a technique for probing the atmosphere, could significantly reduce forecast errors.

After running the teams for a year now, the company has more than doubled its average deal size in these regions while reducing deal-level development costs by nearly 40%, and it is forecasting significantly higher revenue for the coming year.

For 2007, 2008 and 2009 we are forecasting significantly increases in our sales as we open the boarding stable.

The results show that feedback significantly improves forecasting accuracy.

Empirical results from eight real-world time series show that our approach provides significantly better forecasting accuracies than the component models and other well recognized linear combination schemes.