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Matrices with different levels of missing data
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2021-07-16
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Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for Adaptive-Impute
Over the past decade, various matrix completion algorithms have been developed. Thresholded singular value decomposition (SVD) is a popular technique in implementing many of them. A sizable number of
DataCite Commons2020-08-28 更新770
Additional file 1: of PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach
Table S1. Notation. Table S2. Top-50 candidate miRNAs for breast cancer predicted by PMAMCA. Table S3. Top-50 candidate miRNAs for lung cancer predicted by PMAMCA. Table S4. List of validated cancer h
Mendeley Data2024-06-25 更新90
Additional file 1: of PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach
Table S1. Notation. Table S2. Top-50 candidate miRNAs for breast cancer predicted by PMAMCA. Table S3. Top-50 candidate miRNAs for lung cancer predicted by PMAMCA. Table S4. List of validated cancer h
DataCite Commons2020-08-27 更新70
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe matrix, obtained by co
DataCite Commons2024-03-29 更新110
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
This article investigates statistical inference for noisy matrix completion in a semi-supervised model when auxiliary covariates are available. The model consists of two parts. One part is a low-rank
DataCite Commons2025-02-03 更新80
