Sentence examples for flexible datasets from inspiring English sources

INRIA person dataset [24] is considered to be one of the most comprehensive and flexible datasets containing 4754 images divided into testing and training samples under multiple scenarios of positive and negative samples.

Each normalized dataset has a raw source dataset, but the mapper hierarchy is flexible, so that analysed datasets built from other analysed datasets (e.g. where the differential of control and drug screens is calculated) can also be included.

In this paper, we propose a framework for genome assembly that allows flexible combination of datasets from different technologies in order to harness their individual strengths.

While current functionality may appear to an end-user not much different from a stand-alone prediction application like ToxTree, the back-end technology provides a very flexible means for integrating datasets, models and algorithms, developed by different software technologies and organisations and running at remote locations.

It does not require flexible joins between normalized datasets which is where relational databases like Mysql provide significant value.

Results: We introduce poretools, a flexible toolkit for exploring datasets generated by nanopore sequencing devices from MinION™ for the purposes of quality control and downstream analysis.

MAPfastR is a fast and comprehensive software package for analyzing QTL data from outbred line-crosses that has been developed for flexible analyses of large datasets.

This simulation model provides a flexible method for generating datasets and selecting an unbiased sample of days and locations to insert outbreaks for the evaluation of spatio-temporal outbreak detection algorithms.

The user may either perform a quick search using keywords, phrases or regular expressions, or build a complex query with a group of filters for efficient and flexible exploration of large datasets.

Visual Integration for Bayesian Evaluation (VIBE) 2.0 offers a simple and flexible approach to fuse complementary datasets and dynamically evaluate the contribution of each dataset.

This paper presents the estimation of a cost function for HIV prevention services using two datasets, using a flexible functional form.