3 papers
cs.LG2023
An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis
Jia Chen, Renyu Zhang, Yuanyi Liu
Digging out the latent information from large-scale incomplete matrices is a key issue with challenges. The Latent Factor Analysis (LFA) model has been investigated in depth to an…
cs.LG2023
A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis
Jia Chen, Yixian Chun, Yuanyi Liu +2
High-Dimensional and Incomplete matrices, which usually contain a large amount of valuable latent information, can be well represented by a Latent Factor Analysis model. The perfor…
cs.LG2022
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
Jia Chen, Di Wu, Xin Luo
High-dimensional and sparse (HiDS) matrices are frequently adopted to describe the complex relationships in various big data-related systems and applications. A Position-transition…