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Semi-supervised regression using cluster ensemble and low-rank co-association matrix decomposition under uncertainties

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.7712/120219.6338.18377
Final published version

Vladimir Berikov
Alexander Litvinenko

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019
Editors	M. Papadrakakis, V. Papadopoulos, G. Stefanou
Publisher	National Technical University of Athens
Pages	229-242
Number of pages	14
ISBN (Print)	9786188284494
DOIs	https://doi.org/10.7712/120219.6338.18377
Publication status	Published - 2019
Event	3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019 - Crete, Greece Duration: 24 Jun 2019 → 26 Jun 2019

Publication series

Name	Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019

Conference

Conference	3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019
Country/Territory	Greece
City	Crete
Period	24.06.2019 → 26.06.2019

Research areas

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

ID: 25504709