Matrix completion and extrapolation via kernel regression.
Pere Giménez-FebrerAlba Pagès-ZamoraGeorgios B. GiannakisPublished in: CoRR (2018)
Keyphrases
- kernel regression
- matrix completion
- incomplete data
- low rank
- regression model
- nadaraya watson
- missing data
- collaborative filtering
- missing values
- linear regression
- parameter optimization
- bayesian networks
- matrix factorization
- singular values
- linear combination
- regression methods
- rank aggregation
- em algorithm
- data sets
- convex relaxation
- singular value decomposition
- high order
- least squares