Sentence examples for rates of training from inspiring English sources

Similar rates of training in POCUS were reported from 70 to 81% in Europe and the United States [6, 8, 9], although precise information concerning the training structure and specific curriculum is scarce.

If similar rates of training participation hold during the period of our study, our estimates identify the impact of providing training relative to available alternatives that are likely to be accessed by as much as one-third of our comparison group members.

The distance of the curves shows a gap between the error rates of training and test set in case of Support Vector Machine (SVM) and Recursive Partitioning (Rpart).

However, rates of training and auditing of freelancers (by pharmaceutical companies and agencies) are less reassuring and suggest room for improvement.

The relatively low rates of training and auditing of freelancers suggested in this survey (albeit from a small number of respondents), however, may represent a problem that companies, agencies and authors who work with freelancers should address.

Based on varying optimal number of genes, LOOCV accuracy rates of training sets were all above 82%, with test set accuracy rates of 88.5%, 82.8%, 82.8% and 80.0% for FL, cHL, DLBCL and RL respectively.

Three derailments in six months are a cause of some concern to the Metropolitan Transportation Authority, especially after years in which tens of millions of dollars in capital improvements had led to many fewer such accidents and to improvements in the breakdown rates of trains.

A comparison of the randomly initialized DBNN result with pre-trained DBNN by the layer-by-layer pre-training method shows that this method not only increased the convergence rate of training but also improved its generalizability.

One Afghan journalist says that, at the current rate of training, it will take ten years to reach the 70,000 men required for a proper army.

In the absence of such expansion there is a growing imbalance between the rate of training and the growth in research career opportunities".

It is a binary tree classifier composed of several two-class classifiers organised by fault priority, which is simple, and has little repeated training amount, and the rate of training and recognition is expedited.