Sentence examples for training and application from inspiring English sources

What was initially a light tenor became, through training and application, a uniquely flexible instrument that deepened by an entire octave when he played Othello at the National Theatre in 1964.

The implementation of specific detection methods and tools requires training and application in natural as well as field conditions.

Additionally, a benchmark comparing the time required for the training and application of data-driven forecasting models on a single computer and a computing cluster is presented.

Overall, our results emphasize the common wisdom that using the same text genre (patents vs. scientific articles) and text type (abstracts vs. full texts) for training and application is a pre-requisite for achieving high-quality text mining results.

These include the selection of specialised pre-processing analytics, the incorporation of chemistry knowledge-rich features in the training and application of the statistical model, and the addition of post-processing rules.

"Our competitive advantage lies in our use of cutting-edge technology and our ability to deliver to customers' doorstep anything between a S$1 product and a S$3 million [piece of] production equipment--complete with comprehensive marketing support and installation, as well as training and application.

Training decisions, training duration, and applications for research grants rise with increases in appropriations for NIH and decline when budget growth slows and purchasing power diminishes.

Furthermore, inconsistencies in the spatial integrity between multisource data and the mismatch between the training space and application space decrease the generalizability of the model, which may lead to unreasonable soil moisture values in certain areas.

The relatedness between training population and application individuals is a key factor affecting prediction accuracy.

However, these therapies require intensive training and rigorous application.

Developers designing such tools must devote sufficient training and develop application safeguards to ensure that patient-centered clinical researchers understand when observation-level extracts should be used.