SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES

SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES Full article

Source

14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020
Compilation, 2021. 748 c.

Output data

Year: 2019, Pages: 229-242 Pages count : 14 DOI: 10.7712/120219.6338.18377

Tags

Cluster ensemble; Co-association matrix; Graph Laplacian regularization; Hierarchical matrices; Low-rank matrix decomposition; Semi-supervised regression

Authors

Berikov Vladimir , Litvinenko Alexander

Affiliations

1	Sobolev Institute of Mathematics
2	Novosibirsk State University

Berikov V. , Litvinenko A.
SEMI-SUPERVISED REGRESSION USING CLUSTER ENSEMBLE AND LOW-RANK CO-ASSOCIATION MATRIX DECOMPOSITION UNDER UNCERTAINTIES
In compilation 14th World Congress of Computational Mechanics and ECCOMAS Congress, WCCM-ECCOMAS 2020. 2019. – C.229-242. DOI: 10.7712/120219.6338.18377 Scopus OpenAlex

Scopus:	2-s2.0-85079327596
OpenAlex:	W2991541262

DB	Citing
Scopus	2
OpenAlex	6