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The latter is never used for any feature selection or model training procedure.

The neural network however has a simpler model training procedure, boarder choice of training data, and smaller computational cost.

In the model training procedure of EESN, we first selected the GMM-based clustering method to separate the feature space of the input WB audio feature F X into N ESN regions.

Operational data were obtained from designed experiments for a PEM fuel cell for training, testing, and validating the hybrid model, and a model training procedure was presented for determining the model coefficients and hyper-parameters of the hybrid model.

To gain computational efficiency, we applied 10-fold CV instead of LOOCV during the model training procedure for each of the gene sets.

Two issues regarding choice of modeling that merit special note are the choice of model training procedure and the use of virological surveillance.

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Thus, a Gaussian mixture model (GMM) is constructed for each musical mood in accordance with model training procedures.

Moreover, in the swap analysis, the MCC achieved by our model in training procedure (MCC = 0.343) was equal to that achieved in validation procedure, indicating the robust model performance.

A number of neural network models and training procedures for time series prediction have been proposed in the technical literature.

In this section, we briefly describe the model training and inference procedures in which feature weights of the CRF model are learnt from training data and subsequently used to make TFBS predictions.

By using statistical features and wavelet energy features as the input features, the proposed PPR model provides more simple training procedure and better generalization performance than using single recognizer, and hence is easier to be used by quality engineers and operators.

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