Sentence examples for minimized training from inspiring English sources

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These measures helped reduce the negative impact of training overhead on throughput gains, and not only minimized training time but provided data transmission opportunity.

My cop friends tell me that in addition to institutional biases that can't be minimized, training is often antiquated and premised on the days of being "tough on crime," once the only approach to policing.

Similar(58)

Taking into account the risk of cardiovascular complications in middle-aged and older adults, this risk can be minimized by beginning a training schedule at light-to-moderate intensity, employing a gradual progression of the volume of the physical training, as stated by the principles of training [17].

The neural network is trained by adjusting the weights until the average error on a set of known training examples are minimized.

The minimized signatures were built on the training dataset and be validated on the validation dataset.

The minimized signatures were built on the training dataset and validated on the validation dataset, and extra-validations for endpoint E were also proposed using EV1 dataset and EV2 dataset.

Potential bias will be minimized and data credibility enhanced through comprehensive training of interviewers and coders, and multiple members of the research team will complete each type of task.

Optimization of the molecular descriptors used to encode chemical structures using oversampled data sets minimized noise by excluding less sensitive descriptors from training inputs to maximize the signal for mGluR5 and proved to be a crucial step for increasing enrichment for active compounds.

Minimized - opens the program/folder as minimized in your taskbar.

The female research assistant was involved to temper the effect of male interviewers while interpretative bias was minimized by discussion of themes by the authors who have different training, experiences and research backgrounds.

Yet, the use of cross validation throughout the full model selection process coupled with a very stringent model evaluation with an independent data set with data from different sources, which produced similar results to the training-validation dataset, is a guarantee that these problems are minimized and of reduced impact respective to its application to a real world scenario.

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