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An extended DEIM algorithm for subset selection and class identification

Machine Learning(2021)10.1007/s10994-021-05954-3Source: DataRank Database

An extended DEIM algorithm for subset selection and class identification is a research paper published in Machine Learning (2021). On theSindex it has a DataRank of 0. It has been cited 11 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)OA: bronzeTopics (12)IDs (PubMed)

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Authors (3)

Béatrice Rivière ORCID,Craig G. Rusin ORCID,Emily P. Hendryx

Live enrichment

PubMed:34149160

U.S. National Library of Medicine

Grant: T15LM007093

Directorate for Mathematical and Physical Sciences

Grant: 0739420

EMSW21-VIGRE: Leveraging the Strength and Extending the Reach of an Integrated Mathematics Community

Directorate for Mathematical and Physical Sciences

Grant: 1312391

Collaborative Research: Mathematical Modeling of Biological Processes in Edematous Tissue

Directorate for Mathematical and Physical Sciences

Grant: 1318348

High Order in Time and Space Numerical Methods for Solving the Miscible Displacement Problem

National Heart, Lung, and Blood Institute

Grant: 1R56HL131574

American Heart Association

Grant: 16BGIA27490024

National Institutes of Health

Grant: 1R56HL131574-01

Real-Time Prediction of Acute Arrest in Infants with Single Ventricle Physiology

National Institutes of Health

Grant: 5T15LM007093-15

Training Program in Computational Biology and Medicine

bronzeLicense: Springer TDM

publisherhttps://link.springer.com/content/pdf/10.1007/s10994-021-05954-3.pdf

publisherhttps://link.springer.com/article/10.1007/s10994-021-05954-3/fulltext.html

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8211103

https://doi.org/10.1007/s10994-021-05954-3

https://pubmed.ncbi.nlm.nih.gov/34149160

Fields of Study

0206 medical engineering02 engineering and technology0101 mathematics01 natural sciences

Keywords

subset selectionClassification and discrimination; cluster analysis (statistical aspects)low rank datadiscrete empirical interpolation methodclass identificationNumerical methods for low-rank matrix approximation; matrix compressionFactorization of matricesComputational aspects of data analysis and big data