research
∙
09/19/2023
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
High-Dimensional and Incomplete (HDI) data is commonly encountered in bi...
share
research
∙
06/06/2023
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks
An Undirected Weighted Network (UWN) is frequently encountered in a big-...
research
∙
06/06/2023
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
An Undirected Weighted Network (UWN) is commonly found in big data-relat...
research
∙
08/12/2022
A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization
Latent Factor (LF) models are effective in representing high-dimension a...
research
∙
08/09/2022
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks
Large-scale undirected weighted networks are usually found in big data-r...
research
∙
04/11/2022