Sentence examples for model training by from inspiring English sources

This phone confusion matrix was trained on the training data employed for acoustic model training by running a phone recognition experiment.

We effect model training by means of approximate inference based on a t-divergence measure; this generalizes the Kullback Leibler divergence in the context of the t-exponential family of distributions.

In separate instances, we performed model training by LASSO, Ridge and Elastic Net with the λ1+λ2 tuning method, in each case with no univariate pre-filter and selecting the penalties with highest cross-validated partial log likelihood in 50 starts.

As a result, the neural network model, trained by the eleven parameters, accurately estimated the values of the TCC.

With the model trained by Scenarios III which produced relatively best performance, the impacts of spatial variables, neighborhood size and cell size were discussed.

When the performances of ANFIS models are compared with each other, the best result is obtained from the ANFIS model trained by the least-squares algorithm.

An ANN model trained by the abundant calculated data accumulated from tribological simulation programs is established for a piston assembly system.

We used a back-off trigram language model trained by the whole BLLIP WSJ corpus in the decoding process and employed the PLSA and the bigram-PLSA models for the N-best rescoring.

Using the classification model trained by authorized users, driver verification consists of testing whether or not the user is classified into one of the pre-defined classes, e.g., authorized drivers.

To predict facility influence in the future, TMM model trained by historical trajectories is proposed to predict vehicle's future movement, which is then used to evaluate future influence of facilities.

The numerical results have shown that the predictive model trained by the ensemble learning-based prognostic approach with degradation-dependent weights is capable of outperforming the original ensemble learning-based approach and its member algorithms.