Sentence examples for efficient starting point from inspiring English sources

Still, anyone curious about the new Gershwin scholarship will find this book to be an efficient starting point for further exploration.

A baseline system, achieving the minimum required performance, was identified as the most efficient starting point for the MCYFS extension in all the geographical areas.

In such an approach, an efficient starting point would be from the point estimate obtained via the EM algorithm, which could significantly expedite the convergence of the Markov Chain Monte Carlo approach.

These findings provide a ligand-efficient starting point for the design of potent hCA I inhibitors – a promising drug target for retinal/cerebral edema treatment.

The sequence data are only predictive of function, but access to such comprehensive data is an efficient and cost-effective starting point to the challenging experimental work and should increase the likelihood of successful laboratory experiments.

The outcome of this study favors the usage of effective yet computationally cheap feature engineering methods such as EDA; for other building energy data mining problems, the method proposed in this study still holds important implications since it provides a starting point where efficient feature engineering and machine learning models could be further developed.

As a consequence, FME can be considered as a starting point to design efficient ATP sensors.

These results form the starting point for an efficient practical computation of the LDP.

The starting point is the efficient creation of input parameter files for SNOWPACK, followed by the launching of SNOWPACK with a variety of parameter settings.

This equation allows us to precisely compute the influence of an entering mobile station whatever its position in a cell and is thus the starting point for an efficient call admission control algorithm.

Clearly, an accurate capacity estimation of a rail network is the starting point for more efficient exploitation and deployment of railway infrastructure and for better supporting policies (e.g. investment prioritization); it requires a robust methodology and very detailed data (infrastructure, timetables, rolling stock, etc).