Simultaneous recovery of a series of low-rank matrices by locally weighted matrix smoothing.
Liangbei XuMark A. DavenportPublished in: CAMSAP (2017)
Keyphrases
- low rank matrices
- locally weighted
- low rank
- singular value decomposition
- linear regression
- matrix completion
- regression model
- naive bayes
- low rank matrix
- matrix factorization
- regression problems
- low rank approximation
- multiple models
- missing data
- frobenius norm
- singular values
- measurement matrix
- feature selection
- bayesian networks
- decision trees
- kernel matrix
- convex optimization
- cross validation
- semi supervised
- classification accuracy
- feature vectors
- training data
- data sets