Sentence examples for a weak training from inspiring English sources

The phrase "a weak training" is correct and usable in written English.
It can be used to describe a training program or session that lacks effectiveness or rigor.
Example: "The team struggled to meet their goals due to a weak training program that did not adequately prepare them for the challenges ahead."
Alternatives: "an inadequate training" or "a poor training".

Exact(2)

For the purpose of testing this hypothesis we developed a weak training protocol, where the T groups received one 30 min training trial with a smaller quantity of food than that used in the previous protocols (i.e., less than 80 mg).

Because we were looking for memory enhancement, we used a weak training protocol.

Similar(58)

Egyptian hot-air balloon pilots have "very weak" training that is "inappropriate to best practice", a British balloon expert, who advises the country's government on safety in the sector, has warned.

The discussion in this chapter highlights weak training indicators and concentrates on the need to adopt a reliable training model that revitalizes security training across the entire spectrum of security operations, as well as how to effectively use it when planning, developing, and implementing revised or new training programs.

The Afghan army is plagued by poor morale, high desertion rates, weak training, equipment shortfalls and limited medical support.

Ground vibration from heavy freight trains on good quality welded track are found to have only a weak dependence on train speed above 30 km/h.

Sierra Leone demonstrates the danger of sending a weak and inadequately trained peacekeeping force into a country where there is not yet a peace to keep.

At each boosting round, a "weak" learner is trained with the data and output of the learner is feedback to the learned function, with some strength.

To generate the hypotheses by training a weak classifier, instances drawn from an iteratively updated distribution of the training data are used.

There was only a weak effect of prior training.

The principle of boosting is to iteratively apply a weak learner to the training data and then combine the ensemble of weak learners to construct a strong learner.

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