Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory.
Jianhang ZhouShuyi LiShaoning ZengBob ZhangPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2024)
Keyphrases
- graph theory
- nuclear norm
- low rank
- norm minimization
- low rank matrix
- singular values
- low rank matrices
- convex optimization
- matrix completion
- rank minimization
- social network analysis
- complex networks
- graph theoretic
- missing data
- singular value decomposition
- matrix factorization
- linear combination
- least squares
- minimization problems
- probabilistic model
- sparse representation
- graph based representations
- generative model
- accelerated proximal gradient
- unsupervised feature selection
- interior point methods
- sparse coding
- semi supervised
- high dimensional data