Sentence examples for data selection aims from inspiring English sources

The first step, data selection, aims at extracting quiet-time data from the initial dataset.

Partial least squares (PLS) provides a bilinear representation of data and PLS-based feature selection aims to select features that have the most weight to linear combinations [ 15].

In recent years, computational investigations have provided different promiscuity estimates, depending on the specific aims, study design, and data selection criteria that were applied.

Model hyper-parameter selection aims to find the parameters with the greatest generalization accuracy for a given data set by comparing the accuracy for different combinations of hyper-parameters.

Landmark selection aims at finding a compromise between number and locations of landmarks to deploy and data location estimate accuracy.

09/05/03 - Data selection and analysis has changed.

Interactive data selection cursors for Matplotlib.

But most important is the data selection step.

Data Selection with Kurtosis and Nasality features for Speaker Recognition.

Automatic Data Selection for MLP-Based Feature Extraction for ASR.

Summary of data selection criteria.