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An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis
However, such a model commonly encounters the problem of slow convergence because a standard SGD algorithm only considers the current learning error to compute the stochastic gradient without considering the historical and future state of the learning error.
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model
High-dimensional and incomplete (HDI) data holds tremendous interactive information in various industrial applications.
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