Sentence examples for example and training from inspiring English sources

A productivity centre is devoted to pushing forward the frontiers of technology making the world's fastest drills, for example—and training employees to help customers.

Its elements include the use of radio programmes to discuss issues such as violence against women, the introduction of labour-saving devices – machines to slice cassava, for example – and training women to become community leaders.

Members of the American task force are spending the bulk of their time working with the Jordanian military on logistics — figuring out how to deploy tons of food, water and latrines to the border, for example, and training the Jordanian military to handle the refugees.

There exist 109 vessel type labels among 400,000 examples, and training and test sets are split in a way that the number of vessel types are identical in both sets.

Mentors received group training on how to assess fidelity, using a coding manual with standardized examples and training from a human factors expert.

In this paper, We propose a novel approach to predicting gene function for genes with few positive examples and unlabeled ones SPE-RNE: creating synthetic examples to enlarge the set of positive examples, extracting representative negative examples from unlabeled examples and training SVM classifier using Grid-search technique.

It identifies key challenges that this has brought; for example, education and training; role boundary blurring; and professional patch protectionism.

We only included the primary work tasks in the analysis and did not consider secondary work tasks beyond taking care of residents, for example, management and training functions.

For example, education and training of the health workforce features in the UK Department of Health guidance document The health impact of climate change: promoting sustainable communities [ 2].

Our novel method, VariantMetaCaller, exploits these observations, and uses the fully concordant variants as positive and the singly-called variants as negative training examples and trains SVMs to separate true variants from potentially erroneously called variants.

This approach draws a random bootstrap sample of a few unlabeled examples from the set of all unlabeled examples and trains a classifier to classify the bootstrap samples as negatives along with the positive samples.