Sentence examples for augmenting the training from inspiring English sources

American combat brigades, however, are to play a key role in augmenting the training and encouraging Iraqi units in the field to take more responsibility.

Second, we suspect that augmenting the training data is also dealing with entropy effects at the same time as we are adding phylogenic information.

Because our method for augmenting the training data is randomized there is a legitimate concern that any reported result might vary each time the algorithm is run.

We postulated that the elimination of the beta-strand pairs SMURFLite must disregard because of computational complexity might be compensated for by augmenting the training data with artificial sequences based on likely mutations in those paired beta strands.

We have shown that incorporating some phylogenetic information by augmenting the training set using simulated evolution can improve these models in both sensitivity and specificity, and allow better predictions of distant homology.

We employ layerwise training to Deep Convolutional Neural Networks (DCNN) in a supervised fashion and augment the training process with the RMSProp algorithm to achieve faster convergence.

Additionally, to deal with the case where speech overlaps with acoustic events, we need such training data to have the neural network learn to discriminate in such a situation, and following the approach in [8], we have artificially augmented the training dataset to contain speech-overlapped data by adding publicly available speech from AURORA-4 [21].

Additionally, we also augmented the training set at the same time we used the entropy weighting; we call this hybrid the 'Combined Approach'.

To augment the training and to help standardize the implementation of JIFF and meeting of goals, all teachers will receive an instruction list for using JIFF.

We augmented the training set with 10, 50, 100, 200, 500 and 1000 mutated sequences for each original sequence in the training set, for both pointwise and pairwise mutation models.

We could imagine two other approaches one would be to weight sequences in training an ordinary HMM based on constructing a phylogenetic tree from the training set; alternatively, we could use a more sophisticated model of evolution to augment the training set, along the lines of our new method.