Sentence examples for data ease from inspiring English sources

Since the takes into account the confidence interval of each sequence (see (10)), the slightly higher confidence interval values of the evaluation data compared to the training data ease obtaining good performance for all models and thus increase the difficulty of achieving significant difference between the of different models.

High system acceptability was observed among all interviewed users, and was demonstrated through depictions of timely availability of data, ease of use, and the efficiency that it introduces to client interactions.

We developed the (University of Tokyo Genome Browser UTGB Toolkittoto provide solutions to these three major requirements: browsing locally stored data, ease of system installation with minimum effort and custom web interface design.

Portability, the time needed to acquire data, ease of use, relatively low cost, and the fact that it is used as an adjunct to the physical examination are major benefits of it [ 11].

a very large volume of data to store, frequent and massive write entries that have to be fast and reliable, data readings that have to be fast and consistent, a data model that can evolve and change on the fly (e.g., adding new concepts and data), ease of administration (backups and restoration), capability to have parallel data processing.

The data eases pressure on the Bank of England, which meets on Thursday to discuss interest rates and the possibility of expanding its quantitative easing (QE) programme.

New 4G technologies should be able to handle reflection better and carry more data, easing congestion (see "Feeding the Bandwidth Beast" ).

In this paper the aim is to show that a recently proposed treatment of highly skewed data eases the task of practitioners in engineering neural network models to meet satisfactory performance criteria.

The steady flow of fairly upbeat data should ease concerns about the economy.

This module is a user-friendly system that a user can generate PRISM data with ease.

Three primary issues are considered: data needs; ease of use; and quality of output.