Sentence examples for incremental training from inspiring English sources

Accordingly, the ANN is trained with an incremental training dataset, increasing in size after each optimization round.

To allow for incremental training data, the existing projection matrices are updated with an eigenspace merging algorithm from Hall [50].

In this paper, we introduce a novel incremental training algorithm for the class of neurofuzzy systems that are structured based on local linear classifiers.

In view of the shortcomings of traditional incremental training methods in long-term prediction, Malhi, et al [96], proposed an RNN based on competitive learning method to improve the accuracy in long-term prediction of rolling bearings.

The algorithm can be used in both an incremental training, in which the weights are updated for each training datum in the training set, and a batch training, in which the weights are updated only after all training data in the training set are presented.

We present a new method for the incremental training of multiclass support vector machines that can simultaneously modify each class separating hyperplane and provide computational efficiency for training tasks where the training data collection is sequentially enriched and dynamic adaptation of the classifier is required over time.

In the proposed incremental constructive training schemes for an OHL-FNN, input-side training and output-side training may be separated in order to reduce the training time.

In this paper, we are interested particularly in incremental constructive training of OHL-FNNs.

Lastly, an incremental SVR training algorithm adopted for the SVR-based approach not only markedly reduces computation time, but identifies structural parameters on-line.

Ongoing support and mentorship and incremental skills training by specialist physicians should be a priority.

Additionally, the method is fully incremental (additional training data can be added at any given time without having to retrain the existing model), easy to parallelize, and scalable, meaning that it is fast and can be trained on large amounts of text in an on-line fashion.