SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES Научная публикация
| Сборник | 14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020 Сборник, 2021. 748 c. |
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| Вых. Данные | Год: 2019, Страницы: 229-242 Страниц : 14 DOI: 10.7712/120219.6338.18377 | ||||
| Ключевые слова | Cluster ensemble; Co-association matrix; Graph Laplacian regularization; Hierarchical matrices; Low-rank matrix decomposition; Semi-supervised regression | ||||
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Библиографическая ссылка:
Berikov V.
, Litvinenko A.
SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES
В сборнике 14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020. 2019. – C.229-242. DOI: 10.7712/120219.6338.18377 Scopus OpenAlex
SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES
В сборнике 14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020. 2019. – C.229-242. DOI: 10.7712/120219.6338.18377 Scopus OpenAlex
Идентификаторы БД:
| Scopus: | 2-s2.0-85079327596 |
| OpenAlex: | W2991541262 |