Sentence examples for the performance of learning from inspiring English sources

Experimental findings endorse that the employment of feature selection enhances the performance of learning model.

So by removing less important and redundant data, the performance of learning algorithm could be improved.

The first attempt to characterize datasets for evaluating the performance of learning algorithms was made by Rendell et al. [24].

Kernel trick improves largely the performance of learning system including recognition, clustering, prediction through the nonlinear kernel mapping from the input data space to output data space.

At the same time, our methods allow direct comparisons between the performance of learning algorithms in different experiments, since no randomness is present.

In such cases transfer learning would greatly improve the performance of learning by avoiding much expensive data-labeling efforts, however, many open questions remain for future research [88].

We show here how to obtain deeper insight into the comparative performance of learning methods through a complementary parametric approach to data analysis.

Nevertheless, in a future study, we intend to investigate the performance of machine learning methods for discriminating perimetric and preperimetric glaucoma.

The WAP method adapts the weights γ d (k) according to the performance of a learning algorithm on each specific class k under study.

We next evaluate the performance of transfer learning.

These issues affect the performance of machine learning techniques, but it has little control on them.