Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation.
Vladimir B. BerikovAlexander LitvinenkoPublished in: MOTOR (2021)
Keyphrases
- low rank
- matrix completion
- semi supervised
- data matrix
- semi supervised learning
- convex optimization
- missing data
- linear combination
- matrix factorization
- singular value decomposition
- high dimensional data
- unlabeled data
- high order
- singular values
- labeled data
- pairwise
- unsupervised learning
- active learning
- data sets
- named entities
- low dimensional
- principal component analysis