Sentence examples for boosting methodology from inspiring English sources

To achieve a scanning rate of 500,000 A-lines per second, we adopted the imaging-speed boosting methodology proposed in [ 43], in which the two cameras were precisely and sequentially controlled.

The ADtree uses the boosting methodology (Freund and Mason, 1999) in the same manner as other successful classification schemes such as Adaboost C4.5 (Quinlan, 1986) but has the advantage of producing models that are easily representable as a tree with a limited number of nodes (often fewer than 20), without sacrificing predictive power.

He had left General Electric, where Jack Welch made this quality-boosting methodology famous, and applied it to Home Depot with a vengeance.

However, since tweets are short and do not provide much context for toponym disambiguation, our methodology boosts the performance of the geoparser by adding context from other tweets in E.

Based on the above derivation, this paper proposes a methodology of applying boosting method and MS technique to significantly improve the accuracy of time series forecasting model for day-ahead wind power forecasts.

The increasing popularity of model-driven approaches and a new generation of tools to support metamodel techniques are changing software engineering landscape, boosting the adoption of new methodologies for control application development.

The researchers devised a machine-learning algorithm that is based on a gradient-boosting regression methodology, in which thousands of decision trees were derived to optimize the predictive value of the overall model.

For IκBα, a "dual boost" AMD methodology (35) was used, whereby, in addition to the acceleration that is applied across the torsional terms of the force field, a fixed background acceleration was also applied across the entire potential.

Using the methodology, we implement the two approaches bagging and boosting of process-based models.

This paper introduces SSTBoost, a predictive classification methodology designed to target the accuracy of a modified boosting algorithm towards required sensitivity and specificity constraints.

The boosted regression trees (BRT) methodology employed for mapping the leishmaniases is a variant of the model used in a previous analysis of dengue (Bhatt et al., 2013).