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An Extended DEIM Algorithm for Subset Selection and Class Identification
The discrete empirical interpolation method (DEIM) has been shown to be a viable index-selection technique for identifying representative subsets in data. Having gained some popularity in reducing dimensionality of physical models involving differential equations, its use in subset-/pattern-identifi...
Tallennettuna:
| Julkaisussa: | Mach Learn |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8211103/ https://ncbi.nlm.nih.gov/pubmed/34149160 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-021-05954-3 |
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