Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data.
Wen QinXin LuoShuai LiMengChu ZhouPublished in: IEEE Trans Autom. Sci. Eng. (2024)
Keyphrases
- factor analysis
- high dimensional
- data points
- data sets
- statistical analysis
- stochastic gradient descent
- data analysis
- incomplete data
- matrix factorization
- worst case
- high dimensional data
- latent factors
- missing data
- statistical methods
- input space
- supervised learning
- nearest neighbor
- pairwise
- training data
- feature selection