The phrase "decrease training" is correct and usable in written English.
It can be used when discussing the reduction of training sessions, intensity, or duration in various contexts, such as sports, education, or professional development.
Example: "Due to budget cuts, we have decided to decrease training for the upcoming quarter."
Alternatives: "reduce training" or "cut back on training."
Therefore, the implementation of minimum wages is predicted to decrease training of low-paid employees.
While AdaBoost was designed to decrease training set error, some have argued that instead it primarily reduces weak learner variance.
To achieve cardiovascular adjustment and reduce the risk of malignant cardiac arrhythmias and ischaemia, the training session is initiated and terminated with a warm-up and a cool-down period to gradually increase and decrease training intensity and HR.
Therefore in the current manuscript, we pair the stimulation experiments with highly complementary recording experiments, which show that the natural climbing fiber responses present during visual-vestibular VOR- decrease training are not correlated with the induction of plasticity either.
Train headway adjustment can optimize train operation and decrease train delay.
But by the time the results of that pilot were known, it had been replaced by a far less generous statewide program that lowered income eligibility, decreased training and incentives, stiffened sanctions and set time limits.
The increased cost of wages was offset by increased production and decreased training programs and other costs associated with hiring new employees.
This finding confirmed the popular notion that decreasing training frequency has a robust effect with age.
Convergence has been proven, with a monotonically decreasing training error, as shown in[3].
Or if demographic change would be accompanied by decreasing training costs (c.p).
This paper presents the details of the proposed accelerated algorithm, having a time complexity of O(n log n), that decreases training time significantly without decreasing prediction accuracy.
