Sentence examples for method using large from inspiring English sources

It can be seen that, the gap between the two methods is diminished with increasing samples which indicates that the SMI method using large number of samples may provide satisfying performance.

We study the properties of this new synthetic forest method using large scale simulations involving both real and synthetic data.

In the future we will extensively test our method using large case-control datasets from public databases such as the NCBI database of genotypes and phenotypes (dbGap) [ 24] and the Welcome Trust Case Control Consortium WTCCCC) [ 25].

We demonstrate the proposed method using large-scale public transportation data from two areas of Singapore.

In this study a relatively new and sophisticated method (using large-deformation, high dimensional brain mapping (HDBM-LD)) has been used to investigate for the first time structure geometry and volume of basal ganglia and thalamus in 13 children with Tourette syndrome (TS) compared to 16 healthy controls.

Furthermore, we also verified the efficacy and statistical robustness of this method using larger sample sizes from multiple medical institutes and developed discriminating functions to detect five types of cancer, including lung, gastric, colorectal, breast, and prostate cancer [ 34, 35].

Incorporating both quasi-experimental and descriptive methods using large data sets, he examines policies and contexts that affect student learning, particularly the learning outcomes of disadvantaged students.

Astone is unusual in that her background includes studies that employ advanced statistical methods using large omnibus, nationally representative data as well as small studies that were done with community based participatory approaches and qualitative data collection and analysis.

Contrary to published methods using large sample volumes (about 250 mL–4 L) and time-consuming offline SPE, we were able to quantitate all the proposed hormones using a small sample volume (1 5 mL).

More recently, however, advances in neuromorphic computing devices which work in analog, and computing methods using large populations of interacting elements (e.g. "neural" networks), have seen the return of differential equations as an everyday part of describing computing systems.

However, there are few published studies that have compared methods using large, empirical datasets.