Sentence examples for data selection methods from inspiring English sources
A summary of entire C1XS observations and data selection methods are presented.
This paper addresses a comparison of four unsupervised data selection methods including random, convex hull based, entropy based and a hybrid data selection method.
Experimental results show that all the three classification-based data selection methods clearly help reducing the overall spoken test set perplexities.
Caragea et al. [ 32] explored the problem of assessing the performance of classifiers trained on macromolecular sequence data, with the emphasis on cross-validation and data selection methods.
Moreover, the following two subsections further demonstrate such an exceptional performance is impossible from overfitting because our proposed algorithm works well consistently for different data sets with different training and test data selection methods.
Training and test sets were selected for 6-hydroxy-benzofuran-5-carboxylic acid derivatives using random data selection method.
Results show that the established interpolation data selection method based on terrain roughness degree is better than other traditional interpolation methods in terms of accuracy.
In this work we propose an algorithm to evolve a robust speech representation, using a dynamic data selection method for reducing the computational cost of the fitness computation while improving the generalisation capabilities.
In this context, we propose a novel data selection method that leads to good models using a fraction of the training data.
We selected waveform data for which the signal-to-noise amplitude ratio of the band-passed waveforms was greater than 4, the same data selection method as for the automatic process of the SWIFT system.
