Results 151 to 160 of about 3,678,430 (211)

Modeling longitudinal data using matrix completion. [PDF]

J Comput Graph Stat
Kidziński Ł, Hastie T.
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The impact of the European Union emissions trading system on carbon dioxide emissions: a matrix completion analysis. [PDF]

Sci Rep
Biancalani F, Gnecco G, Metulini R, Riccaboni M.   +3 more
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ANS-SCMC: A matrix completion method based on adaptive neighbourhood similarity and sparse constraints for predicting microbe-disease associations. [PDF]

J Cell Mol Med
Wen H, Zhong X, Lin L, Chen L.
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Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors. [PDF]

J Cheminform
Du M, Xie X, Luo J, Li J.
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QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion. [PDF]

Front Genet, 2020
Wang L, Chen Y, Zhang N, Chen W, Zhang Y, Gao R.   +5 more
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Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction. [PDF]

Front Bioeng Biotechnol, 2020
Zhu R, Ji C, Wang Y, Cai Y, Wu H.
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Matrix Completion Problems [PDF]

, 2012
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Inference and uncertainty quantification for noisy matrix completion. [PDF]

Proc Natl Acad Sci U S A, 2019
Chen Y, Fan J, Ma C, Yan Y.
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Robust Matrix Completion Based on Factorization and Truncated-Quadratic Loss Function

IEEE transactions on circuits and systems for video technology (Print), 2023
Robust matrix completion refers to recovering a low-rank matrix given a subset of the entries corrupted by gross errors, and has various applications since many real-world signals can be modeled as low-rank matrices.
Zhi-yong Wang, Xiao Peng Li, H. So
semanticscholar   +1 more source