Sentence examples for embedded method from inspiring English sources

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.

In this paper, we propose a new framework for gene selection which combines the Fisher filter and the SVMRFE embedded method, with a greedy algorithm to remove the redundant genes.

Even though there are many feature selection techniques such as filter, wrapper, and embedded method [ 41], a simple univariate feature selection method was used in order to emphasize not the effect of feature selection but the effect of integration with inter-relationship between miRNAs and target mRNAs.

Finally, embedded methods are built into the classification algorithm.

The embedded methods utilize regression models with regularization.

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.

The most common embedded methods are regularization-based [12], including LASSO, elastic net, or ridge regression.

Wrapper and embedded methods require specific classification algorithm to determine the importance of a feature subset.

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