Sentence examples for embedded methods from inspiring English sources

All the embedded methods presented have no added computational effort compared to their standard counterparts.

The embedded methods are demonstrated to be indeed improvements over their standard counterparts by several numerical examples.

Embedded methods based on the WENO schemes of Jiang and Shu [1] and on the WENO-Z scheme of Borges et al. [2] are explicitly constructed.

The embedded methods utilize regression models with regularization.

Finally, embedded methods are built into the classification algorithm.

While embedded methods may yield good results with a low amount of computational complexity, using embedded methods would limit the number of classification algorithms for comparison.

In this paper, we develop an error embedded method based on generalized Chebyshev polynomials for solving stiff initial value problems.

These methods for selecting feature subset are generally divided into three models: wrapper, filter, and embedded method.

In fact, we have combined the Fisher method and SVMRFE to utilize the advantages of a filtering method as well as an embedded method.

Improved efficiency and robustness are observed in convergence studies relative to the level set embedding methods.

Existing CT embedding methods are graph-dependent that could only embed the data on the training graph in the subspace.