Sentence examples for modifying the training from inspiring English sources

The solution consists of adding another input to the standard feed-forward network and of modifying the training algorithm to allow for determination of this input for which no training data is available.

Three training issues addressed within the body of this paper are: modifying the training program to fit a variety of training needs and audiences; keeping the training program current; and designing a program that grows with an individual.

By modifying the training phase of the k-associated optimal graph algorithm, and proposing a new labeling algorithm in the testing phase, we introduce a novel approach that is robust in the presence of different level of noise.

This makes our approach applicable to specialize any classifier, while treating training samples according to the importance of their weights without modifying the training function as Wang et al. [16, 17] did.  .

This observation leaves room for further improvements, for example by modifying the training data composition.

Finally, some methods aim to reduce the amount of parameter learning to avoid overfitting, achieved by regularisation techniques modifying the training objective function or limiting the parameter learning cycles (Duda et al, 2001).

Thus he discusses research showing that a gene for a protein called CREB is activated when animals learn - but hasn't cottoned on to the fact that they can still learn without CREB providing one modifies the training routine.

Group members can participate in Google Hangouts and Q&A's with the trainer and eventually coaches will modify the training plan based on progress.

Quantifying the influence of genetics and environmental factors on the response to PA may serve to explain why certain individuals do not respond as well to a structured PA program across a variety of outcomes, with implications for how we can modify the training environment to achieve a positive response.

For this purpose we modify the training and testing sets in length as well as in content.

Instead of maximizing the overall classification accuracy, we modified the training goal as minimizing the number of FP at a specified detection sensitivity of TP, denoted as ζ.