Sentence examples for sparse regression from inspiring English sources

The statistics of streaming sparse regression.

Feature-distributed sparse regression: a screen-and-clean approach.

Specific topics: the Sherrington-Kirkpatrick model; sparse regression with random designs;.

Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons.

The key-frames are automatically selected and super-resolved using a method based on sparse regression.

To extract the core transcriptional components of stemness relevant to clinical outcomes, we performed sparse regression analysis of LSC gene expression against survival in a large training cohort, generating a 17-gene LSC score (LSC17).

The results show that the developed sparse regression technique is able to identify the most significant PC contributions describing the problem.

These sparse regression techniques can simultaneously achieve the ideal design of the estimator and select the most effective feature-related wavelengths.

We perform the first application of the Elastic Net sparse regression technique to fMRI data and find that reliability can be enhanced independently of prediction, particularly by accounting for the known spatial structure in the data.

Topics include acoustic, elastic, electromagnetic wave equations; geometrical optics; scattering series and inversion; migration and backprojection; adjoint-state methods; Radon and curvilinear Radon transforms; microlocal analysis of imaging; optimization, regularization, and sparse regression.

If the underlying network of interactions is sparse, two main statistical approaches are used to retrieve such a structure: covariance modeling approaches with a penalty constraint that encourages sparsity of the network, and nodewise regression approaches with sparse regression methods applied at each node.