Sentence examples for models by removing from inspiring English sources

According to Kantardzic [18], feature selection is a set of techniques that select relevant features (PMFCC sub concepts) for building robust learning models by removing most irrelevant and redundant features from the data.

There are few recent models of the ionosphere, so data from ground-based observatories will be used to verify the Swarm models, by removing the core, lithosphere and magnetosphere contributions from the hourly mean values (Macmillan and Olsen, 2013).

Competitive adaptive reweighted sampling (CoAdReS) and ant colony optimization (ACO) variable selection methods were used to enhance the predictive ability of the chemometric models by removing unnecessary spectral information.

However, it is not clear if this approach over-constrains the models by removing non-loop solutions as well.

This situation was recapitulated in our preclinical models by removing panobinostat from the media from responding cells, resulting in complete reactivation of KIT signalling within 24 h.

Cross validation provides a means to evaluate the performance of the models by removing a subset of the data, generating a model from the remaining data and applying the subset as a test set.

Kim et al. [ 38] modeled superior semicircular canal dehiscences (SSCD) in a passive coiled 3D FE model, by removing a section of the outer bony wall of the canal.

He said the government would improve the model by removing "command and control" elements, which is essentially the level of federal regulation of state spending.

South Korea's land reform (under the Land Reform Law of June 1949) roughly followed the Japanese model by removing tenancy, creating small ownerships, implementing the law thoroughly and promptly, and depending heavily on nonagricultural (basically industrial) employment to absorb labour and supplement rural income.

We conclude that we have to improve our model by removing some assumptions.

This phase is capable of reducing the computational complexity of the optimization model by removing inappropriate sites.