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Li et al., 2021 - Google Patents

An improved non-negative latent factor model for missing data estimation via extragradient-based alternating direction method

Li et al., 2021

Document ID
16425022930398583486
Author
Li M
Song Y
Publication year
Publication venue
IEEE Transactions on Neural Networks and Learning Systems

External Links

Snippet

In this article, an improved double factorization-based symmetric and non-negative latent factor (Im-DF-SNLF) model is proposed to make the estimation for missing data in symmetric, high-dimensional, and sparse (SHiDS) matrices. The main idea of the Im-DF …
Continue reading at ieeexplore.ieee.org (other versions)

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