Sentence examples for development data to from inspiring English sources

We included eligible participants from South and West region (regions 3 and 4) in the development data to develop the model (n = 1,518).

Table 1 Dataset descriptions Data type Usage Data set Training data To train the DNN and GMM 100 (speakers) × 5 (utterances) × 3 (environments) Development data To determine the settings of the DNN (layers, batches, etc). in the experimental step Same as above Test data To test the speakers in this dataset in the evaluation step 100 (speakers) × 20 (utterances) × 5 (environments).

The calibration and the fusion parameters are then estimated by logistic regression on the development data to obtain improved discriminative and well-calibrated likelihood ratios [84].

In order to select the best feature set for this entity recognition task, we followed an iterative elimination approach, starting with the full feature set defined above and using the development data to evaluate models trained on the training data.

In order to apply a classical MLR analysis, the original database of 45 cases was divided into two groups: a development data set to build the model and an independent test data set.

In conventional supervised pattern recognition tasks, model selection is typically accomplished by minimizing the classification error rate on a set of so-called development data, subject to ground-truth labeling by human experts or some other means.

While this study did not include floral buds or the stages of tomato development, where cell division is most active, it is the most complete fruit development data set to date.

It is hard to determine whether LegCYC1B or other CYC homologues in legumes have a role in controlling androecial development from data to date [ 13, 14, 21].

The AUC of the ADNEX model for the basic discrimination between benign and malignant tumours was 0.954 955% confidence interval 0.947 to 0.961) on the development data and 0.943 0.9344 to 0.952) on the validation data (table 3).

The company says it plans to use the cash for product development, data science and to amp up its M&A strategy.

Shrinkage: The model developed using the development data may be vulnerable to overfitting.