Sentence examples for a sparse model from inspiring English sources

This method performs data-driven variable selection and results in a sparse model that includes the most informative covariates.

Comparing with other MI-ranking-based methods, the proposed framework can select from the full-feature space while still creating a sparse model.

Motivated by the merit of sparse models, in this paper we propose a novel feature selection method using a sparse model.

The proposed framework combines information theoretic criteria and the least absolute shrinkage and selection operator (Lasso) method into a two-step feature selection process which is capable of selecting a sparse model while preserving the most informative features.

This study is motivated by the challenge and is aimed to develop efficient feature selection approaches that can construct a sparse model with the most clinical meaningful features preserved.

Due to the underdetermined nature of (14) for a sparse model (i.e., M r (N s  + N R  − 1) < N R N A and N P  < N D ), it has no unique solution.

SSP designates a sparse model-based refinement of existing signal processing.

In this work, we propose a sparse modeling based method to select representatives.

It is beneficial to perform a sparse modelling for the image analysis.

The proposed CSEC employs the compressed sensing technique to get a more sparse model with a more reasonable selection of base classifiers.

Motivated by the above dissussions, we propose a novel sparse model with CNN features (Fig. 1).